Download UOC (University of Calicut) M.Com (Master of Commerce) Quantitative Techniques for Business Decision Question Bank (Important Questions)
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
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MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
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MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
c. 1 and +1
d. 3 and +3
15. A high degree of +ve correlation between availability of rainfall and weight of weight
of people is:
a. A meaningless correlation
b. A spurious correlation
c. A nonsense correlation
d. All of the above
16. If the ratio of change in one variable is equal to the ratio of change in the other
variable, then the correlation is said to be .....................
a. Linear
b. Non-linear
c. Curvilinear
d. None of these
17. Pearsonian correlation coefficient if denoted by the symbol ...............
a. K
b. r
c. R
d. None of these
18. If r= +1, the correlation is said to be ...................
a. High degree of +ve correlation
b. High degree of ve correlation
c. Perfect +ve correlation
d. Perfect ve correlation
19. If the dots in a scatter diagram fall on a narrow band, it indicates a .......................
degree of correlation.
a. Zero
b. High
c. Low
d. None of these
20. If all the points of a dot chart lie on a straight line vertical to the X-axis, then
coefficient of correlation is ...................
a. 0
b. +1
c. 1
d. None of these
21. If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes
.................................of correlation.
a. High degree
b. Low degree
c. Moderate degree
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MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
c. 1 and +1
d. 3 and +3
15. A high degree of +ve correlation between availability of rainfall and weight of weight
of people is:
a. A meaningless correlation
b. A spurious correlation
c. A nonsense correlation
d. All of the above
16. If the ratio of change in one variable is equal to the ratio of change in the other
variable, then the correlation is said to be .....................
a. Linear
b. Non-linear
c. Curvilinear
d. None of these
17. Pearsonian correlation coefficient if denoted by the symbol ...............
a. K
b. r
c. R
d. None of these
18. If r= +1, the correlation is said to be ...................
a. High degree of +ve correlation
b. High degree of ve correlation
c. Perfect +ve correlation
d. Perfect ve correlation
19. If the dots in a scatter diagram fall on a narrow band, it indicates a .......................
degree of correlation.
a. Zero
b. High
c. Low
d. None of these
20. If all the points of a dot chart lie on a straight line vertical to the X-axis, then
coefficient of correlation is ...................
a. 0
b. +1
c. 1
d. None of these
21. If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes
.................................of correlation.
a. High degree
b. Low degree
c. Moderate degree
d. Absence
22. If dots are lying on a scatter diagram in a haphazard manner, then r = ......................
a. 0
b. +1
c. 1
d. None of these
23. The unit of Coefficient of correlation is ........................
a. Percentage
b. Ratio
c. Same unit of the data
d. No unit
24. Product moment correlation method is also called ........................
a. Rank correlation
b. Pearsonian correlation
c. Concurrent deviation
d. None of these
25. The ve sign of correlation coefficient between X and Y indicates.............................
a. X decreasing, Y increasing
b. X increasing, Y decreasing
c. Any of the above
d. There is no change in X and Y
26. Coefficient of correlation explains .........................of the relationship between two
variables.
a. Degree
b. Direction
c. Both of the above
d. None of the above
27. For perfect correlation, the coefficient of correlation should be ..........................
a. ? 1
b. + 1
c. 1
d. 0
28. Rank correlation coefficient was discovered by....................................
a. Fisher
b. Spearman
c. Karl Pearson
d. Bowley
29. The rank correlation coefficient is always............................
a. + 1
b. 1
c. 0
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MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
c. 1 and +1
d. 3 and +3
15. A high degree of +ve correlation between availability of rainfall and weight of weight
of people is:
a. A meaningless correlation
b. A spurious correlation
c. A nonsense correlation
d. All of the above
16. If the ratio of change in one variable is equal to the ratio of change in the other
variable, then the correlation is said to be .....................
a. Linear
b. Non-linear
c. Curvilinear
d. None of these
17. Pearsonian correlation coefficient if denoted by the symbol ...............
a. K
b. r
c. R
d. None of these
18. If r= +1, the correlation is said to be ...................
a. High degree of +ve correlation
b. High degree of ve correlation
c. Perfect +ve correlation
d. Perfect ve correlation
19. If the dots in a scatter diagram fall on a narrow band, it indicates a .......................
degree of correlation.
a. Zero
b. High
c. Low
d. None of these
20. If all the points of a dot chart lie on a straight line vertical to the X-axis, then
coefficient of correlation is ...................
a. 0
b. +1
c. 1
d. None of these
21. If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes
.................................of correlation.
a. High degree
b. Low degree
c. Moderate degree
d. Absence
22. If dots are lying on a scatter diagram in a haphazard manner, then r = ......................
a. 0
b. +1
c. 1
d. None of these
23. The unit of Coefficient of correlation is ........................
a. Percentage
b. Ratio
c. Same unit of the data
d. No unit
24. Product moment correlation method is also called ........................
a. Rank correlation
b. Pearsonian correlation
c. Concurrent deviation
d. None of these
25. The ve sign of correlation coefficient between X and Y indicates.............................
a. X decreasing, Y increasing
b. X increasing, Y decreasing
c. Any of the above
d. There is no change in X and Y
26. Coefficient of correlation explains .........................of the relationship between two
variables.
a. Degree
b. Direction
c. Both of the above
d. None of the above
27. For perfect correlation, the coefficient of correlation should be ..........................
a. ? 1
b. + 1
c. 1
d. 0
28. Rank correlation coefficient was discovered by....................................
a. Fisher
b. Spearman
c. Karl Pearson
d. Bowley
29. The rank correlation coefficient is always............................
a. + 1
b. 1
c. 0
d. Between + 1 and 1
30. Spearmans Rank Correlation Coefficient is usually denoted by....................
a. k
b. r
c. S
d. R
31. Probable error is used to:
a. Test the reliability of correlation coefficient
b. Measure the error in correlation coefficient
c. Both a an b
d. None of these
32. If coefficient of correlation is more than ................of its P E, correlation is significant.
a. 2 times
b. 5 times
c. 6 times
d. 10 times
33. In correlation analysis, Probable Error = ........................ x 0.6745
a. Standard deviation
b. Standard error
c. Coefficient of correlation
d. None of these
34. Coefficient of concurrent deviation depends on .......................
a. The signs of the deviations
b. The magnitude of the deviations
c. Bothe a and b
d. None of these
35. Correlation analysis between two sets of data only is called....................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
36. Correlation analysis between one dependent variable with one independent variable
by keeping the other independent variables as constant is called......................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
37. Study of correlation among three or more variables simultaneously is called.............
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
FirstRanker.com - FirstRanker's Choice
MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
c. 1 and +1
d. 3 and +3
15. A high degree of +ve correlation between availability of rainfall and weight of weight
of people is:
a. A meaningless correlation
b. A spurious correlation
c. A nonsense correlation
d. All of the above
16. If the ratio of change in one variable is equal to the ratio of change in the other
variable, then the correlation is said to be .....................
a. Linear
b. Non-linear
c. Curvilinear
d. None of these
17. Pearsonian correlation coefficient if denoted by the symbol ...............
a. K
b. r
c. R
d. None of these
18. If r= +1, the correlation is said to be ...................
a. High degree of +ve correlation
b. High degree of ve correlation
c. Perfect +ve correlation
d. Perfect ve correlation
19. If the dots in a scatter diagram fall on a narrow band, it indicates a .......................
degree of correlation.
a. Zero
b. High
c. Low
d. None of these
20. If all the points of a dot chart lie on a straight line vertical to the X-axis, then
coefficient of correlation is ...................
a. 0
b. +1
c. 1
d. None of these
21. If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes
.................................of correlation.
a. High degree
b. Low degree
c. Moderate degree
d. Absence
22. If dots are lying on a scatter diagram in a haphazard manner, then r = ......................
a. 0
b. +1
c. 1
d. None of these
23. The unit of Coefficient of correlation is ........................
a. Percentage
b. Ratio
c. Same unit of the data
d. No unit
24. Product moment correlation method is also called ........................
a. Rank correlation
b. Pearsonian correlation
c. Concurrent deviation
d. None of these
25. The ve sign of correlation coefficient between X and Y indicates.............................
a. X decreasing, Y increasing
b. X increasing, Y decreasing
c. Any of the above
d. There is no change in X and Y
26. Coefficient of correlation explains .........................of the relationship between two
variables.
a. Degree
b. Direction
c. Both of the above
d. None of the above
27. For perfect correlation, the coefficient of correlation should be ..........................
a. ? 1
b. + 1
c. 1
d. 0
28. Rank correlation coefficient was discovered by....................................
a. Fisher
b. Spearman
c. Karl Pearson
d. Bowley
29. The rank correlation coefficient is always............................
a. + 1
b. 1
c. 0
d. Between + 1 and 1
30. Spearmans Rank Correlation Coefficient is usually denoted by....................
a. k
b. r
c. S
d. R
31. Probable error is used to:
a. Test the reliability of correlation coefficient
b. Measure the error in correlation coefficient
c. Both a an b
d. None of these
32. If coefficient of correlation is more than ................of its P E, correlation is significant.
a. 2 times
b. 5 times
c. 6 times
d. 10 times
33. In correlation analysis, Probable Error = ........................ x 0.6745
a. Standard deviation
b. Standard error
c. Coefficient of correlation
d. None of these
34. Coefficient of concurrent deviation depends on .......................
a. The signs of the deviations
b. The magnitude of the deviations
c. Bothe a and b
d. None of these
35. Correlation analysis between two sets of data only is called....................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
36. Correlation analysis between one dependent variable with one independent variable
by keeping the other independent variables as constant is called......................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
37. Study of correlation among three or more variables simultaneously is called.............
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
38. If r = 0.8, coefficient of determination is.....................................
a. 80%
b. 8%
c. 64%
d. 0.8%
39. If r is the simple correlation coefficient, the quantity r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
40. If r is the simple correlation coefficient, the quantity 1 -- r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
41. The term regression was first used by..........................
a. Karl Pearson
b. Spearman
c. R A Fisher
d. Francis Galton
42. ....................refers to analysis of average relationship between two variables to
provide mechanism for prediction.
a. Correlation
b. Regression
c. Standard error
d. None of these
43. If there are two variables, there can be at most............................... number of
regression lines.
a. One
b. Two
c. Three
d. Infinite
44. If the regression line is Y on X, then the variable X is known as..........................
a. Independent variable
b. Explanatory variable
c. Regressor
d. All the above
45. Regression line is also called.................................
a. Estimating equation
b. Prediction equation
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MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
c. 1 and +1
d. 3 and +3
15. A high degree of +ve correlation between availability of rainfall and weight of weight
of people is:
a. A meaningless correlation
b. A spurious correlation
c. A nonsense correlation
d. All of the above
16. If the ratio of change in one variable is equal to the ratio of change in the other
variable, then the correlation is said to be .....................
a. Linear
b. Non-linear
c. Curvilinear
d. None of these
17. Pearsonian correlation coefficient if denoted by the symbol ...............
a. K
b. r
c. R
d. None of these
18. If r= +1, the correlation is said to be ...................
a. High degree of +ve correlation
b. High degree of ve correlation
c. Perfect +ve correlation
d. Perfect ve correlation
19. If the dots in a scatter diagram fall on a narrow band, it indicates a .......................
degree of correlation.
a. Zero
b. High
c. Low
d. None of these
20. If all the points of a dot chart lie on a straight line vertical to the X-axis, then
coefficient of correlation is ...................
a. 0
b. +1
c. 1
d. None of these
21. If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes
.................................of correlation.
a. High degree
b. Low degree
c. Moderate degree
d. Absence
22. If dots are lying on a scatter diagram in a haphazard manner, then r = ......................
a. 0
b. +1
c. 1
d. None of these
23. The unit of Coefficient of correlation is ........................
a. Percentage
b. Ratio
c. Same unit of the data
d. No unit
24. Product moment correlation method is also called ........................
a. Rank correlation
b. Pearsonian correlation
c. Concurrent deviation
d. None of these
25. The ve sign of correlation coefficient between X and Y indicates.............................
a. X decreasing, Y increasing
b. X increasing, Y decreasing
c. Any of the above
d. There is no change in X and Y
26. Coefficient of correlation explains .........................of the relationship between two
variables.
a. Degree
b. Direction
c. Both of the above
d. None of the above
27. For perfect correlation, the coefficient of correlation should be ..........................
a. ? 1
b. + 1
c. 1
d. 0
28. Rank correlation coefficient was discovered by....................................
a. Fisher
b. Spearman
c. Karl Pearson
d. Bowley
29. The rank correlation coefficient is always............................
a. + 1
b. 1
c. 0
d. Between + 1 and 1
30. Spearmans Rank Correlation Coefficient is usually denoted by....................
a. k
b. r
c. S
d. R
31. Probable error is used to:
a. Test the reliability of correlation coefficient
b. Measure the error in correlation coefficient
c. Both a an b
d. None of these
32. If coefficient of correlation is more than ................of its P E, correlation is significant.
a. 2 times
b. 5 times
c. 6 times
d. 10 times
33. In correlation analysis, Probable Error = ........................ x 0.6745
a. Standard deviation
b. Standard error
c. Coefficient of correlation
d. None of these
34. Coefficient of concurrent deviation depends on .......................
a. The signs of the deviations
b. The magnitude of the deviations
c. Bothe a and b
d. None of these
35. Correlation analysis between two sets of data only is called....................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
36. Correlation analysis between one dependent variable with one independent variable
by keeping the other independent variables as constant is called......................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
37. Study of correlation among three or more variables simultaneously is called.............
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
38. If r = 0.8, coefficient of determination is.....................................
a. 80%
b. 8%
c. 64%
d. 0.8%
39. If r is the simple correlation coefficient, the quantity r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
40. If r is the simple correlation coefficient, the quantity 1 -- r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
41. The term regression was first used by..........................
a. Karl Pearson
b. Spearman
c. R A Fisher
d. Francis Galton
42. ....................refers to analysis of average relationship between two variables to
provide mechanism for prediction.
a. Correlation
b. Regression
c. Standard error
d. None of these
43. If there are two variables, there can be at most............................... number of
regression lines.
a. One
b. Two
c. Three
d. Infinite
44. If the regression line is Y on X, then the variable X is known as..........................
a. Independent variable
b. Explanatory variable
c. Regressor
d. All the above
45. Regression line is also called.................................
a. Estimating equation
b. Prediction equation
c. Line of average relationship
d. All the above
46. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Explained variable
c. Both a and b
d. Regressor
47. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Bothe a and b
d. None of the above
48. If the regression line is Y on X, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Both a and b
d. None of the above
49. The point of intersection of two regression lines is..........................
a.(0,0) b.(1,1) c.(x,y) d.(x ? , ?) 50. If r = ? 1, the two regression lines are...............................
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
51. If r = 1, the angle between the two regression lines is.........................
a. Ninety degree
b. Thirty degree
c. Zero degree
d. Sixty degree
52. If r = 0, the two regression lines are:
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
53. If b xy and b yx are two regression coefficients, they have:
a. Same signs
b. Opposite signs
c. Either a or b
FirstRanker.com - FirstRanker's Choice
MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
c. 1 and +1
d. 3 and +3
15. A high degree of +ve correlation between availability of rainfall and weight of weight
of people is:
a. A meaningless correlation
b. A spurious correlation
c. A nonsense correlation
d. All of the above
16. If the ratio of change in one variable is equal to the ratio of change in the other
variable, then the correlation is said to be .....................
a. Linear
b. Non-linear
c. Curvilinear
d. None of these
17. Pearsonian correlation coefficient if denoted by the symbol ...............
a. K
b. r
c. R
d. None of these
18. If r= +1, the correlation is said to be ...................
a. High degree of +ve correlation
b. High degree of ve correlation
c. Perfect +ve correlation
d. Perfect ve correlation
19. If the dots in a scatter diagram fall on a narrow band, it indicates a .......................
degree of correlation.
a. Zero
b. High
c. Low
d. None of these
20. If all the points of a dot chart lie on a straight line vertical to the X-axis, then
coefficient of correlation is ...................
a. 0
b. +1
c. 1
d. None of these
21. If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes
.................................of correlation.
a. High degree
b. Low degree
c. Moderate degree
d. Absence
22. If dots are lying on a scatter diagram in a haphazard manner, then r = ......................
a. 0
b. +1
c. 1
d. None of these
23. The unit of Coefficient of correlation is ........................
a. Percentage
b. Ratio
c. Same unit of the data
d. No unit
24. Product moment correlation method is also called ........................
a. Rank correlation
b. Pearsonian correlation
c. Concurrent deviation
d. None of these
25. The ve sign of correlation coefficient between X and Y indicates.............................
a. X decreasing, Y increasing
b. X increasing, Y decreasing
c. Any of the above
d. There is no change in X and Y
26. Coefficient of correlation explains .........................of the relationship between two
variables.
a. Degree
b. Direction
c. Both of the above
d. None of the above
27. For perfect correlation, the coefficient of correlation should be ..........................
a. ? 1
b. + 1
c. 1
d. 0
28. Rank correlation coefficient was discovered by....................................
a. Fisher
b. Spearman
c. Karl Pearson
d. Bowley
29. The rank correlation coefficient is always............................
a. + 1
b. 1
c. 0
d. Between + 1 and 1
30. Spearmans Rank Correlation Coefficient is usually denoted by....................
a. k
b. r
c. S
d. R
31. Probable error is used to:
a. Test the reliability of correlation coefficient
b. Measure the error in correlation coefficient
c. Both a an b
d. None of these
32. If coefficient of correlation is more than ................of its P E, correlation is significant.
a. 2 times
b. 5 times
c. 6 times
d. 10 times
33. In correlation analysis, Probable Error = ........................ x 0.6745
a. Standard deviation
b. Standard error
c. Coefficient of correlation
d. None of these
34. Coefficient of concurrent deviation depends on .......................
a. The signs of the deviations
b. The magnitude of the deviations
c. Bothe a and b
d. None of these
35. Correlation analysis between two sets of data only is called....................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
36. Correlation analysis between one dependent variable with one independent variable
by keeping the other independent variables as constant is called......................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
37. Study of correlation among three or more variables simultaneously is called.............
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
38. If r = 0.8, coefficient of determination is.....................................
a. 80%
b. 8%
c. 64%
d. 0.8%
39. If r is the simple correlation coefficient, the quantity r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
40. If r is the simple correlation coefficient, the quantity 1 -- r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
41. The term regression was first used by..........................
a. Karl Pearson
b. Spearman
c. R A Fisher
d. Francis Galton
42. ....................refers to analysis of average relationship between two variables to
provide mechanism for prediction.
a. Correlation
b. Regression
c. Standard error
d. None of these
43. If there are two variables, there can be at most............................... number of
regression lines.
a. One
b. Two
c. Three
d. Infinite
44. If the regression line is Y on X, then the variable X is known as..........................
a. Independent variable
b. Explanatory variable
c. Regressor
d. All the above
45. Regression line is also called.................................
a. Estimating equation
b. Prediction equation
c. Line of average relationship
d. All the above
46. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Explained variable
c. Both a and b
d. Regressor
47. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Bothe a and b
d. None of the above
48. If the regression line is Y on X, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Both a and b
d. None of the above
49. The point of intersection of two regression lines is..........................
a.(0,0) b.(1,1) c.(x,y) d.(x ? , ?) 50. If r = ? 1, the two regression lines are...............................
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
51. If r = 1, the angle between the two regression lines is.........................
a. Ninety degree
b. Thirty degree
c. Zero degree
d. Sixty degree
52. If r = 0, the two regression lines are:
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
53. If b xy and b yx are two regression coefficients, they have:
a. Same signs
b. Opposite signs
c. Either a or b
d. None of the above.
54. If b yx > 1, then b xy is:
a. Greater than one
b. Less than one
c. Equal to one
d. Equal to zero
55. If X and Y are independent, the value of b yx is equal to ........................
a. Zero
b. One
c. Infinity
d. Any positive value
56. The property that both the regression coefficients and correlation coefficient have
same signs is called................................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
57. The property that b yx > 1 implies that b xy < 1 is known as .....................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
58. If X and Y are independent, the property b yx = b xy = 0 is called ...................
a. Fundamental property
b. Magnitude property
c. Mean property
d. Independence property
59. The Correlation coefficient between two variables is the ........................... of their
regression coefficients.
a. Arithmetic mean
b. Geometric mean
c. Harmonic mean
d. None of these
60. If the correlation coefficient between two variables, X and Y, is negative, then the
regression coefficient of Y on X is.............................
a. Positive
b. Negative
c. Not certain
d. None of these
61. The G M of two regression coefficients b yx and b xy is equal to ..........................
a. r
FirstRanker.com - FirstRanker's Choice
MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
c. 1 and +1
d. 3 and +3
15. A high degree of +ve correlation between availability of rainfall and weight of weight
of people is:
a. A meaningless correlation
b. A spurious correlation
c. A nonsense correlation
d. All of the above
16. If the ratio of change in one variable is equal to the ratio of change in the other
variable, then the correlation is said to be .....................
a. Linear
b. Non-linear
c. Curvilinear
d. None of these
17. Pearsonian correlation coefficient if denoted by the symbol ...............
a. K
b. r
c. R
d. None of these
18. If r= +1, the correlation is said to be ...................
a. High degree of +ve correlation
b. High degree of ve correlation
c. Perfect +ve correlation
d. Perfect ve correlation
19. If the dots in a scatter diagram fall on a narrow band, it indicates a .......................
degree of correlation.
a. Zero
b. High
c. Low
d. None of these
20. If all the points of a dot chart lie on a straight line vertical to the X-axis, then
coefficient of correlation is ...................
a. 0
b. +1
c. 1
d. None of these
21. If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes
.................................of correlation.
a. High degree
b. Low degree
c. Moderate degree
d. Absence
22. If dots are lying on a scatter diagram in a haphazard manner, then r = ......................
a. 0
b. +1
c. 1
d. None of these
23. The unit of Coefficient of correlation is ........................
a. Percentage
b. Ratio
c. Same unit of the data
d. No unit
24. Product moment correlation method is also called ........................
a. Rank correlation
b. Pearsonian correlation
c. Concurrent deviation
d. None of these
25. The ve sign of correlation coefficient between X and Y indicates.............................
a. X decreasing, Y increasing
b. X increasing, Y decreasing
c. Any of the above
d. There is no change in X and Y
26. Coefficient of correlation explains .........................of the relationship between two
variables.
a. Degree
b. Direction
c. Both of the above
d. None of the above
27. For perfect correlation, the coefficient of correlation should be ..........................
a. ? 1
b. + 1
c. 1
d. 0
28. Rank correlation coefficient was discovered by....................................
a. Fisher
b. Spearman
c. Karl Pearson
d. Bowley
29. The rank correlation coefficient is always............................
a. + 1
b. 1
c. 0
d. Between + 1 and 1
30. Spearmans Rank Correlation Coefficient is usually denoted by....................
a. k
b. r
c. S
d. R
31. Probable error is used to:
a. Test the reliability of correlation coefficient
b. Measure the error in correlation coefficient
c. Both a an b
d. None of these
32. If coefficient of correlation is more than ................of its P E, correlation is significant.
a. 2 times
b. 5 times
c. 6 times
d. 10 times
33. In correlation analysis, Probable Error = ........................ x 0.6745
a. Standard deviation
b. Standard error
c. Coefficient of correlation
d. None of these
34. Coefficient of concurrent deviation depends on .......................
a. The signs of the deviations
b. The magnitude of the deviations
c. Bothe a and b
d. None of these
35. Correlation analysis between two sets of data only is called....................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
36. Correlation analysis between one dependent variable with one independent variable
by keeping the other independent variables as constant is called......................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
37. Study of correlation among three or more variables simultaneously is called.............
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
38. If r = 0.8, coefficient of determination is.....................................
a. 80%
b. 8%
c. 64%
d. 0.8%
39. If r is the simple correlation coefficient, the quantity r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
40. If r is the simple correlation coefficient, the quantity 1 -- r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
41. The term regression was first used by..........................
a. Karl Pearson
b. Spearman
c. R A Fisher
d. Francis Galton
42. ....................refers to analysis of average relationship between two variables to
provide mechanism for prediction.
a. Correlation
b. Regression
c. Standard error
d. None of these
43. If there are two variables, there can be at most............................... number of
regression lines.
a. One
b. Two
c. Three
d. Infinite
44. If the regression line is Y on X, then the variable X is known as..........................
a. Independent variable
b. Explanatory variable
c. Regressor
d. All the above
45. Regression line is also called.................................
a. Estimating equation
b. Prediction equation
c. Line of average relationship
d. All the above
46. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Explained variable
c. Both a and b
d. Regressor
47. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Bothe a and b
d. None of the above
48. If the regression line is Y on X, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Both a and b
d. None of the above
49. The point of intersection of two regression lines is..........................
a.(0,0) b.(1,1) c.(x,y) d.(x ? , ?) 50. If r = ? 1, the two regression lines are...............................
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
51. If r = 1, the angle between the two regression lines is.........................
a. Ninety degree
b. Thirty degree
c. Zero degree
d. Sixty degree
52. If r = 0, the two regression lines are:
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
53. If b xy and b yx are two regression coefficients, they have:
a. Same signs
b. Opposite signs
c. Either a or b
d. None of the above.
54. If b yx > 1, then b xy is:
a. Greater than one
b. Less than one
c. Equal to one
d. Equal to zero
55. If X and Y are independent, the value of b yx is equal to ........................
a. Zero
b. One
c. Infinity
d. Any positive value
56. The property that both the regression coefficients and correlation coefficient have
same signs is called................................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
57. The property that b yx > 1 implies that b xy < 1 is known as .....................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
58. If X and Y are independent, the property b yx = b xy = 0 is called ...................
a. Fundamental property
b. Magnitude property
c. Mean property
d. Independence property
59. The Correlation coefficient between two variables is the ........................... of their
regression coefficients.
a. Arithmetic mean
b. Geometric mean
c. Harmonic mean
d. None of these
60. If the correlation coefficient between two variables, X and Y, is negative, then the
regression coefficient of Y on X is.............................
a. Positive
b. Negative
c. Not certain
d. None of these
61. The G M of two regression coefficients b yx and b xy is equal to ..........................
a. r
b. r
2
c. 1 r
2
d. None of these
62. If one regression coefficient is negative, the other is ...............................
a. 0
b. ve
c. +ve
d. Either a or b
63. Arithmetic mean of the two regression coefficients is:
a. Equal to correlation coefficient
b. Greater than correlation coefficient
c. Less than correlation coefficient
d. Equal to or greater than correlation coefficient
64. b yx is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
65. b xy is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
66. In ..................... regression analysis, only one independent variable is used to explain
the dependent variable.
a. Multiple
b. Non-linear
c. Linear
d. None of these
67. The regression coefficient and correlation coefficient of the two variables will be the
same if their .............................are same.
a. Arithmetic mean
b. Standard deviation
c. Geometric mean
d. Mean deviation
68. The idea of testing of hypothesis was first set forth by ..........................
a. R A Fisher
b. J Neyman
c. E L Lehman
d. A Wald
69. By testing of hypothesis, we mean:
FirstRanker.com - FirstRanker's Choice
MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
c. 1 and +1
d. 3 and +3
15. A high degree of +ve correlation between availability of rainfall and weight of weight
of people is:
a. A meaningless correlation
b. A spurious correlation
c. A nonsense correlation
d. All of the above
16. If the ratio of change in one variable is equal to the ratio of change in the other
variable, then the correlation is said to be .....................
a. Linear
b. Non-linear
c. Curvilinear
d. None of these
17. Pearsonian correlation coefficient if denoted by the symbol ...............
a. K
b. r
c. R
d. None of these
18. If r= +1, the correlation is said to be ...................
a. High degree of +ve correlation
b. High degree of ve correlation
c. Perfect +ve correlation
d. Perfect ve correlation
19. If the dots in a scatter diagram fall on a narrow band, it indicates a .......................
degree of correlation.
a. Zero
b. High
c. Low
d. None of these
20. If all the points of a dot chart lie on a straight line vertical to the X-axis, then
coefficient of correlation is ...................
a. 0
b. +1
c. 1
d. None of these
21. If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes
.................................of correlation.
a. High degree
b. Low degree
c. Moderate degree
d. Absence
22. If dots are lying on a scatter diagram in a haphazard manner, then r = ......................
a. 0
b. +1
c. 1
d. None of these
23. The unit of Coefficient of correlation is ........................
a. Percentage
b. Ratio
c. Same unit of the data
d. No unit
24. Product moment correlation method is also called ........................
a. Rank correlation
b. Pearsonian correlation
c. Concurrent deviation
d. None of these
25. The ve sign of correlation coefficient between X and Y indicates.............................
a. X decreasing, Y increasing
b. X increasing, Y decreasing
c. Any of the above
d. There is no change in X and Y
26. Coefficient of correlation explains .........................of the relationship between two
variables.
a. Degree
b. Direction
c. Both of the above
d. None of the above
27. For perfect correlation, the coefficient of correlation should be ..........................
a. ? 1
b. + 1
c. 1
d. 0
28. Rank correlation coefficient was discovered by....................................
a. Fisher
b. Spearman
c. Karl Pearson
d. Bowley
29. The rank correlation coefficient is always............................
a. + 1
b. 1
c. 0
d. Between + 1 and 1
30. Spearmans Rank Correlation Coefficient is usually denoted by....................
a. k
b. r
c. S
d. R
31. Probable error is used to:
a. Test the reliability of correlation coefficient
b. Measure the error in correlation coefficient
c. Both a an b
d. None of these
32. If coefficient of correlation is more than ................of its P E, correlation is significant.
a. 2 times
b. 5 times
c. 6 times
d. 10 times
33. In correlation analysis, Probable Error = ........................ x 0.6745
a. Standard deviation
b. Standard error
c. Coefficient of correlation
d. None of these
34. Coefficient of concurrent deviation depends on .......................
a. The signs of the deviations
b. The magnitude of the deviations
c. Bothe a and b
d. None of these
35. Correlation analysis between two sets of data only is called....................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
36. Correlation analysis between one dependent variable with one independent variable
by keeping the other independent variables as constant is called......................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
37. Study of correlation among three or more variables simultaneously is called.............
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
38. If r = 0.8, coefficient of determination is.....................................
a. 80%
b. 8%
c. 64%
d. 0.8%
39. If r is the simple correlation coefficient, the quantity r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
40. If r is the simple correlation coefficient, the quantity 1 -- r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
41. The term regression was first used by..........................
a. Karl Pearson
b. Spearman
c. R A Fisher
d. Francis Galton
42. ....................refers to analysis of average relationship between two variables to
provide mechanism for prediction.
a. Correlation
b. Regression
c. Standard error
d. None of these
43. If there are two variables, there can be at most............................... number of
regression lines.
a. One
b. Two
c. Three
d. Infinite
44. If the regression line is Y on X, then the variable X is known as..........................
a. Independent variable
b. Explanatory variable
c. Regressor
d. All the above
45. Regression line is also called.................................
a. Estimating equation
b. Prediction equation
c. Line of average relationship
d. All the above
46. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Explained variable
c. Both a and b
d. Regressor
47. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Bothe a and b
d. None of the above
48. If the regression line is Y on X, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Both a and b
d. None of the above
49. The point of intersection of two regression lines is..........................
a.(0,0) b.(1,1) c.(x,y) d.(x ? , ?) 50. If r = ? 1, the two regression lines are...............................
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
51. If r = 1, the angle between the two regression lines is.........................
a. Ninety degree
b. Thirty degree
c. Zero degree
d. Sixty degree
52. If r = 0, the two regression lines are:
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
53. If b xy and b yx are two regression coefficients, they have:
a. Same signs
b. Opposite signs
c. Either a or b
d. None of the above.
54. If b yx > 1, then b xy is:
a. Greater than one
b. Less than one
c. Equal to one
d. Equal to zero
55. If X and Y are independent, the value of b yx is equal to ........................
a. Zero
b. One
c. Infinity
d. Any positive value
56. The property that both the regression coefficients and correlation coefficient have
same signs is called................................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
57. The property that b yx > 1 implies that b xy < 1 is known as .....................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
58. If X and Y are independent, the property b yx = b xy = 0 is called ...................
a. Fundamental property
b. Magnitude property
c. Mean property
d. Independence property
59. The Correlation coefficient between two variables is the ........................... of their
regression coefficients.
a. Arithmetic mean
b. Geometric mean
c. Harmonic mean
d. None of these
60. If the correlation coefficient between two variables, X and Y, is negative, then the
regression coefficient of Y on X is.............................
a. Positive
b. Negative
c. Not certain
d. None of these
61. The G M of two regression coefficients b yx and b xy is equal to ..........................
a. r
b. r
2
c. 1 r
2
d. None of these
62. If one regression coefficient is negative, the other is ...............................
a. 0
b. ve
c. +ve
d. Either a or b
63. Arithmetic mean of the two regression coefficients is:
a. Equal to correlation coefficient
b. Greater than correlation coefficient
c. Less than correlation coefficient
d. Equal to or greater than correlation coefficient
64. b yx is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
65. b xy is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
66. In ..................... regression analysis, only one independent variable is used to explain
the dependent variable.
a. Multiple
b. Non-linear
c. Linear
d. None of these
67. The regression coefficient and correlation coefficient of the two variables will be the
same if their .............................are same.
a. Arithmetic mean
b. Standard deviation
c. Geometric mean
d. Mean deviation
68. The idea of testing of hypothesis was first set forth by ..........................
a. R A Fisher
b. J Neyman
c. E L Lehman
d. A Wald
69. By testing of hypothesis, we mean:
a. A significant procedure in Statistics
b. A method of making a significant statement
c. A rule for accepting or rejecting hypothesis
d. A significant estimation of a problem.
70. Testing of hypothesis and ......................are the two branches of statistical inference.
a. Statistical analysis
b. Probability
c. Correlation analysis
d. Estimation
71. ......................... is the original hypothesis
a. Null hypothesis
b. Alternative hypothesis
c. Either a or b
d. None of these
72. A null hypothesis is denoted by...........................
a. H 0
b. H 1
c. NH
d. None of these
73. An alternative hypothesis is denoted by...........................
a. H 0
b. H 1
c. AH
d. None of these
74. Whether a test is one sided or two sided, depends on........................
a. Simple hypothesis
b. Composite hypothesis
c. Null hypothesis
d. Alternative hypothesis
75. A wrong decision about null hypothesis leads to:
a. One kind of error
b. Two kinds of errors
c. Three kinds of errors
d. Four kinds of errors
76. Power of a test is related to ........................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
77. Level of significance is the probability of................................
a. Type I error
FirstRanker.com - FirstRanker's Choice
MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
c. 1 and +1
d. 3 and +3
15. A high degree of +ve correlation between availability of rainfall and weight of weight
of people is:
a. A meaningless correlation
b. A spurious correlation
c. A nonsense correlation
d. All of the above
16. If the ratio of change in one variable is equal to the ratio of change in the other
variable, then the correlation is said to be .....................
a. Linear
b. Non-linear
c. Curvilinear
d. None of these
17. Pearsonian correlation coefficient if denoted by the symbol ...............
a. K
b. r
c. R
d. None of these
18. If r= +1, the correlation is said to be ...................
a. High degree of +ve correlation
b. High degree of ve correlation
c. Perfect +ve correlation
d. Perfect ve correlation
19. If the dots in a scatter diagram fall on a narrow band, it indicates a .......................
degree of correlation.
a. Zero
b. High
c. Low
d. None of these
20. If all the points of a dot chart lie on a straight line vertical to the X-axis, then
coefficient of correlation is ...................
a. 0
b. +1
c. 1
d. None of these
21. If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes
.................................of correlation.
a. High degree
b. Low degree
c. Moderate degree
d. Absence
22. If dots are lying on a scatter diagram in a haphazard manner, then r = ......................
a. 0
b. +1
c. 1
d. None of these
23. The unit of Coefficient of correlation is ........................
a. Percentage
b. Ratio
c. Same unit of the data
d. No unit
24. Product moment correlation method is also called ........................
a. Rank correlation
b. Pearsonian correlation
c. Concurrent deviation
d. None of these
25. The ve sign of correlation coefficient between X and Y indicates.............................
a. X decreasing, Y increasing
b. X increasing, Y decreasing
c. Any of the above
d. There is no change in X and Y
26. Coefficient of correlation explains .........................of the relationship between two
variables.
a. Degree
b. Direction
c. Both of the above
d. None of the above
27. For perfect correlation, the coefficient of correlation should be ..........................
a. ? 1
b. + 1
c. 1
d. 0
28. Rank correlation coefficient was discovered by....................................
a. Fisher
b. Spearman
c. Karl Pearson
d. Bowley
29. The rank correlation coefficient is always............................
a. + 1
b. 1
c. 0
d. Between + 1 and 1
30. Spearmans Rank Correlation Coefficient is usually denoted by....................
a. k
b. r
c. S
d. R
31. Probable error is used to:
a. Test the reliability of correlation coefficient
b. Measure the error in correlation coefficient
c. Both a an b
d. None of these
32. If coefficient of correlation is more than ................of its P E, correlation is significant.
a. 2 times
b. 5 times
c. 6 times
d. 10 times
33. In correlation analysis, Probable Error = ........................ x 0.6745
a. Standard deviation
b. Standard error
c. Coefficient of correlation
d. None of these
34. Coefficient of concurrent deviation depends on .......................
a. The signs of the deviations
b. The magnitude of the deviations
c. Bothe a and b
d. None of these
35. Correlation analysis between two sets of data only is called....................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
36. Correlation analysis between one dependent variable with one independent variable
by keeping the other independent variables as constant is called......................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
37. Study of correlation among three or more variables simultaneously is called.............
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
38. If r = 0.8, coefficient of determination is.....................................
a. 80%
b. 8%
c. 64%
d. 0.8%
39. If r is the simple correlation coefficient, the quantity r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
40. If r is the simple correlation coefficient, the quantity 1 -- r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
41. The term regression was first used by..........................
a. Karl Pearson
b. Spearman
c. R A Fisher
d. Francis Galton
42. ....................refers to analysis of average relationship between two variables to
provide mechanism for prediction.
a. Correlation
b. Regression
c. Standard error
d. None of these
43. If there are two variables, there can be at most............................... number of
regression lines.
a. One
b. Two
c. Three
d. Infinite
44. If the regression line is Y on X, then the variable X is known as..........................
a. Independent variable
b. Explanatory variable
c. Regressor
d. All the above
45. Regression line is also called.................................
a. Estimating equation
b. Prediction equation
c. Line of average relationship
d. All the above
46. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Explained variable
c. Both a and b
d. Regressor
47. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Bothe a and b
d. None of the above
48. If the regression line is Y on X, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Both a and b
d. None of the above
49. The point of intersection of two regression lines is..........................
a.(0,0) b.(1,1) c.(x,y) d.(x ? , ?) 50. If r = ? 1, the two regression lines are...............................
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
51. If r = 1, the angle between the two regression lines is.........................
a. Ninety degree
b. Thirty degree
c. Zero degree
d. Sixty degree
52. If r = 0, the two regression lines are:
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
53. If b xy and b yx are two regression coefficients, they have:
a. Same signs
b. Opposite signs
c. Either a or b
d. None of the above.
54. If b yx > 1, then b xy is:
a. Greater than one
b. Less than one
c. Equal to one
d. Equal to zero
55. If X and Y are independent, the value of b yx is equal to ........................
a. Zero
b. One
c. Infinity
d. Any positive value
56. The property that both the regression coefficients and correlation coefficient have
same signs is called................................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
57. The property that b yx > 1 implies that b xy < 1 is known as .....................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
58. If X and Y are independent, the property b yx = b xy = 0 is called ...................
a. Fundamental property
b. Magnitude property
c. Mean property
d. Independence property
59. The Correlation coefficient between two variables is the ........................... of their
regression coefficients.
a. Arithmetic mean
b. Geometric mean
c. Harmonic mean
d. None of these
60. If the correlation coefficient between two variables, X and Y, is negative, then the
regression coefficient of Y on X is.............................
a. Positive
b. Negative
c. Not certain
d. None of these
61. The G M of two regression coefficients b yx and b xy is equal to ..........................
a. r
b. r
2
c. 1 r
2
d. None of these
62. If one regression coefficient is negative, the other is ...............................
a. 0
b. ve
c. +ve
d. Either a or b
63. Arithmetic mean of the two regression coefficients is:
a. Equal to correlation coefficient
b. Greater than correlation coefficient
c. Less than correlation coefficient
d. Equal to or greater than correlation coefficient
64. b yx is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
65. b xy is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
66. In ..................... regression analysis, only one independent variable is used to explain
the dependent variable.
a. Multiple
b. Non-linear
c. Linear
d. None of these
67. The regression coefficient and correlation coefficient of the two variables will be the
same if their .............................are same.
a. Arithmetic mean
b. Standard deviation
c. Geometric mean
d. Mean deviation
68. The idea of testing of hypothesis was first set forth by ..........................
a. R A Fisher
b. J Neyman
c. E L Lehman
d. A Wald
69. By testing of hypothesis, we mean:
a. A significant procedure in Statistics
b. A method of making a significant statement
c. A rule for accepting or rejecting hypothesis
d. A significant estimation of a problem.
70. Testing of hypothesis and ......................are the two branches of statistical inference.
a. Statistical analysis
b. Probability
c. Correlation analysis
d. Estimation
71. ......................... is the original hypothesis
a. Null hypothesis
b. Alternative hypothesis
c. Either a or b
d. None of these
72. A null hypothesis is denoted by...........................
a. H 0
b. H 1
c. NH
d. None of these
73. An alternative hypothesis is denoted by...........................
a. H 0
b. H 1
c. AH
d. None of these
74. Whether a test is one sided or two sided, depends on........................
a. Simple hypothesis
b. Composite hypothesis
c. Null hypothesis
d. Alternative hypothesis
75. A wrong decision about null hypothesis leads to:
a. One kind of error
b. Two kinds of errors
c. Three kinds of errors
d. Four kinds of errors
76. Power of a test is related to ........................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
77. Level of significance is the probability of................................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
78. Which type of error is more severe error:
a. Type I error
b. Type II error
c. Both a and b
d. None of these
79. Type II error means..............................
a. Accepting a true hypothesis
b. Rejecting a true hypothesis
c. Accepting a wrong hypothesis
d. Rejecting a wrong hypothesis
80. Type I error is denoted by...........................
a. Alpha
b. Beta
c. Gamma
d. None of these
81. Type II error is denoted by....................................
a. Alpha
b. Beta
c. Gamma
d. None of these
82. The level of probability of accepting a true null hypothesis is called........................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. D,
83. The probability of rejecting a true null hypothesis is called.......................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. None of these
84. 1 Level of confidence =.............................
a. Level of significance
b. Degree of freedom
c. Either a or b
d. None of these
85. While testing a hypothesis, if level of significance is not mentioned, we take
................... level of significance.
a. 1%
FirstRanker.com - FirstRanker's Choice
MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
c. 1 and +1
d. 3 and +3
15. A high degree of +ve correlation between availability of rainfall and weight of weight
of people is:
a. A meaningless correlation
b. A spurious correlation
c. A nonsense correlation
d. All of the above
16. If the ratio of change in one variable is equal to the ratio of change in the other
variable, then the correlation is said to be .....................
a. Linear
b. Non-linear
c. Curvilinear
d. None of these
17. Pearsonian correlation coefficient if denoted by the symbol ...............
a. K
b. r
c. R
d. None of these
18. If r= +1, the correlation is said to be ...................
a. High degree of +ve correlation
b. High degree of ve correlation
c. Perfect +ve correlation
d. Perfect ve correlation
19. If the dots in a scatter diagram fall on a narrow band, it indicates a .......................
degree of correlation.
a. Zero
b. High
c. Low
d. None of these
20. If all the points of a dot chart lie on a straight line vertical to the X-axis, then
coefficient of correlation is ...................
a. 0
b. +1
c. 1
d. None of these
21. If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes
.................................of correlation.
a. High degree
b. Low degree
c. Moderate degree
d. Absence
22. If dots are lying on a scatter diagram in a haphazard manner, then r = ......................
a. 0
b. +1
c. 1
d. None of these
23. The unit of Coefficient of correlation is ........................
a. Percentage
b. Ratio
c. Same unit of the data
d. No unit
24. Product moment correlation method is also called ........................
a. Rank correlation
b. Pearsonian correlation
c. Concurrent deviation
d. None of these
25. The ve sign of correlation coefficient between X and Y indicates.............................
a. X decreasing, Y increasing
b. X increasing, Y decreasing
c. Any of the above
d. There is no change in X and Y
26. Coefficient of correlation explains .........................of the relationship between two
variables.
a. Degree
b. Direction
c. Both of the above
d. None of the above
27. For perfect correlation, the coefficient of correlation should be ..........................
a. ? 1
b. + 1
c. 1
d. 0
28. Rank correlation coefficient was discovered by....................................
a. Fisher
b. Spearman
c. Karl Pearson
d. Bowley
29. The rank correlation coefficient is always............................
a. + 1
b. 1
c. 0
d. Between + 1 and 1
30. Spearmans Rank Correlation Coefficient is usually denoted by....................
a. k
b. r
c. S
d. R
31. Probable error is used to:
a. Test the reliability of correlation coefficient
b. Measure the error in correlation coefficient
c. Both a an b
d. None of these
32. If coefficient of correlation is more than ................of its P E, correlation is significant.
a. 2 times
b. 5 times
c. 6 times
d. 10 times
33. In correlation analysis, Probable Error = ........................ x 0.6745
a. Standard deviation
b. Standard error
c. Coefficient of correlation
d. None of these
34. Coefficient of concurrent deviation depends on .......................
a. The signs of the deviations
b. The magnitude of the deviations
c. Bothe a and b
d. None of these
35. Correlation analysis between two sets of data only is called....................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
36. Correlation analysis between one dependent variable with one independent variable
by keeping the other independent variables as constant is called......................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
37. Study of correlation among three or more variables simultaneously is called.............
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
38. If r = 0.8, coefficient of determination is.....................................
a. 80%
b. 8%
c. 64%
d. 0.8%
39. If r is the simple correlation coefficient, the quantity r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
40. If r is the simple correlation coefficient, the quantity 1 -- r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
41. The term regression was first used by..........................
a. Karl Pearson
b. Spearman
c. R A Fisher
d. Francis Galton
42. ....................refers to analysis of average relationship between two variables to
provide mechanism for prediction.
a. Correlation
b. Regression
c. Standard error
d. None of these
43. If there are two variables, there can be at most............................... number of
regression lines.
a. One
b. Two
c. Three
d. Infinite
44. If the regression line is Y on X, then the variable X is known as..........................
a. Independent variable
b. Explanatory variable
c. Regressor
d. All the above
45. Regression line is also called.................................
a. Estimating equation
b. Prediction equation
c. Line of average relationship
d. All the above
46. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Explained variable
c. Both a and b
d. Regressor
47. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Bothe a and b
d. None of the above
48. If the regression line is Y on X, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Both a and b
d. None of the above
49. The point of intersection of two regression lines is..........................
a.(0,0) b.(1,1) c.(x,y) d.(x ? , ?) 50. If r = ? 1, the two regression lines are...............................
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
51. If r = 1, the angle between the two regression lines is.........................
a. Ninety degree
b. Thirty degree
c. Zero degree
d. Sixty degree
52. If r = 0, the two regression lines are:
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
53. If b xy and b yx are two regression coefficients, they have:
a. Same signs
b. Opposite signs
c. Either a or b
d. None of the above.
54. If b yx > 1, then b xy is:
a. Greater than one
b. Less than one
c. Equal to one
d. Equal to zero
55. If X and Y are independent, the value of b yx is equal to ........................
a. Zero
b. One
c. Infinity
d. Any positive value
56. The property that both the regression coefficients and correlation coefficient have
same signs is called................................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
57. The property that b yx > 1 implies that b xy < 1 is known as .....................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
58. If X and Y are independent, the property b yx = b xy = 0 is called ...................
a. Fundamental property
b. Magnitude property
c. Mean property
d. Independence property
59. The Correlation coefficient between two variables is the ........................... of their
regression coefficients.
a. Arithmetic mean
b. Geometric mean
c. Harmonic mean
d. None of these
60. If the correlation coefficient between two variables, X and Y, is negative, then the
regression coefficient of Y on X is.............................
a. Positive
b. Negative
c. Not certain
d. None of these
61. The G M of two regression coefficients b yx and b xy is equal to ..........................
a. r
b. r
2
c. 1 r
2
d. None of these
62. If one regression coefficient is negative, the other is ...............................
a. 0
b. ve
c. +ve
d. Either a or b
63. Arithmetic mean of the two regression coefficients is:
a. Equal to correlation coefficient
b. Greater than correlation coefficient
c. Less than correlation coefficient
d. Equal to or greater than correlation coefficient
64. b yx is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
65. b xy is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
66. In ..................... regression analysis, only one independent variable is used to explain
the dependent variable.
a. Multiple
b. Non-linear
c. Linear
d. None of these
67. The regression coefficient and correlation coefficient of the two variables will be the
same if their .............................are same.
a. Arithmetic mean
b. Standard deviation
c. Geometric mean
d. Mean deviation
68. The idea of testing of hypothesis was first set forth by ..........................
a. R A Fisher
b. J Neyman
c. E L Lehman
d. A Wald
69. By testing of hypothesis, we mean:
a. A significant procedure in Statistics
b. A method of making a significant statement
c. A rule for accepting or rejecting hypothesis
d. A significant estimation of a problem.
70. Testing of hypothesis and ......................are the two branches of statistical inference.
a. Statistical analysis
b. Probability
c. Correlation analysis
d. Estimation
71. ......................... is the original hypothesis
a. Null hypothesis
b. Alternative hypothesis
c. Either a or b
d. None of these
72. A null hypothesis is denoted by...........................
a. H 0
b. H 1
c. NH
d. None of these
73. An alternative hypothesis is denoted by...........................
a. H 0
b. H 1
c. AH
d. None of these
74. Whether a test is one sided or two sided, depends on........................
a. Simple hypothesis
b. Composite hypothesis
c. Null hypothesis
d. Alternative hypothesis
75. A wrong decision about null hypothesis leads to:
a. One kind of error
b. Two kinds of errors
c. Three kinds of errors
d. Four kinds of errors
76. Power of a test is related to ........................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
77. Level of significance is the probability of................................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
78. Which type of error is more severe error:
a. Type I error
b. Type II error
c. Both a and b
d. None of these
79. Type II error means..............................
a. Accepting a true hypothesis
b. Rejecting a true hypothesis
c. Accepting a wrong hypothesis
d. Rejecting a wrong hypothesis
80. Type I error is denoted by...........................
a. Alpha
b. Beta
c. Gamma
d. None of these
81. Type II error is denoted by....................................
a. Alpha
b. Beta
c. Gamma
d. None of these
82. The level of probability of accepting a true null hypothesis is called........................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. D,
83. The probability of rejecting a true null hypothesis is called.......................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. None of these
84. 1 Level of confidence =.............................
a. Level of significance
b. Degree of freedom
c. Either a or b
d. None of these
85. While testing a hypothesis, if level of significance is not mentioned, we take
................... level of significance.
a. 1%
b. 2%
c. 5%
d. 10%
86. A sample is treated as large sample, when its size is.............................
a. More than 100
b. More than 75
c. More than 50
d. More than 30
87. ...............refers to the number of independent observations which is obtained by
subtracting the number of constraints from the total number of observations.
a. Sample size
b. Degree of freedom
c. Level of significance
d. Level of confidence
88. Total number of observations number of constraints =......................
a. Level of significance
b. Degree of freedom
c. Level of confidence
d. Sample size
89. Accepting a null hypothesis when it is false is called................................
a. Type I error
b. Type II error
c. Probable error
d. Standard error
90. Accepting a null hypothesis when it is true is called................................
a. Type I error
b. Type II error
c. Probable error
d. No error
91. When sample is small,....................... test is applied.
a. t-test
b. Z test
c. F test
d. None of these
92. To test a hypothesis about proportions of items in a class, the usual test is..............
a. t-test
b. Z- test
c. F test
d. Sign test
93. Students t -test is applicable when:
a. The values of the variate are independent
FirstRanker.com - FirstRanker's Choice
MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
c. 1 and +1
d. 3 and +3
15. A high degree of +ve correlation between availability of rainfall and weight of weight
of people is:
a. A meaningless correlation
b. A spurious correlation
c. A nonsense correlation
d. All of the above
16. If the ratio of change in one variable is equal to the ratio of change in the other
variable, then the correlation is said to be .....................
a. Linear
b. Non-linear
c. Curvilinear
d. None of these
17. Pearsonian correlation coefficient if denoted by the symbol ...............
a. K
b. r
c. R
d. None of these
18. If r= +1, the correlation is said to be ...................
a. High degree of +ve correlation
b. High degree of ve correlation
c. Perfect +ve correlation
d. Perfect ve correlation
19. If the dots in a scatter diagram fall on a narrow band, it indicates a .......................
degree of correlation.
a. Zero
b. High
c. Low
d. None of these
20. If all the points of a dot chart lie on a straight line vertical to the X-axis, then
coefficient of correlation is ...................
a. 0
b. +1
c. 1
d. None of these
21. If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes
.................................of correlation.
a. High degree
b. Low degree
c. Moderate degree
d. Absence
22. If dots are lying on a scatter diagram in a haphazard manner, then r = ......................
a. 0
b. +1
c. 1
d. None of these
23. The unit of Coefficient of correlation is ........................
a. Percentage
b. Ratio
c. Same unit of the data
d. No unit
24. Product moment correlation method is also called ........................
a. Rank correlation
b. Pearsonian correlation
c. Concurrent deviation
d. None of these
25. The ve sign of correlation coefficient between X and Y indicates.............................
a. X decreasing, Y increasing
b. X increasing, Y decreasing
c. Any of the above
d. There is no change in X and Y
26. Coefficient of correlation explains .........................of the relationship between two
variables.
a. Degree
b. Direction
c. Both of the above
d. None of the above
27. For perfect correlation, the coefficient of correlation should be ..........................
a. ? 1
b. + 1
c. 1
d. 0
28. Rank correlation coefficient was discovered by....................................
a. Fisher
b. Spearman
c. Karl Pearson
d. Bowley
29. The rank correlation coefficient is always............................
a. + 1
b. 1
c. 0
d. Between + 1 and 1
30. Spearmans Rank Correlation Coefficient is usually denoted by....................
a. k
b. r
c. S
d. R
31. Probable error is used to:
a. Test the reliability of correlation coefficient
b. Measure the error in correlation coefficient
c. Both a an b
d. None of these
32. If coefficient of correlation is more than ................of its P E, correlation is significant.
a. 2 times
b. 5 times
c. 6 times
d. 10 times
33. In correlation analysis, Probable Error = ........................ x 0.6745
a. Standard deviation
b. Standard error
c. Coefficient of correlation
d. None of these
34. Coefficient of concurrent deviation depends on .......................
a. The signs of the deviations
b. The magnitude of the deviations
c. Bothe a and b
d. None of these
35. Correlation analysis between two sets of data only is called....................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
36. Correlation analysis between one dependent variable with one independent variable
by keeping the other independent variables as constant is called......................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
37. Study of correlation among three or more variables simultaneously is called.............
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
38. If r = 0.8, coefficient of determination is.....................................
a. 80%
b. 8%
c. 64%
d. 0.8%
39. If r is the simple correlation coefficient, the quantity r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
40. If r is the simple correlation coefficient, the quantity 1 -- r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
41. The term regression was first used by..........................
a. Karl Pearson
b. Spearman
c. R A Fisher
d. Francis Galton
42. ....................refers to analysis of average relationship between two variables to
provide mechanism for prediction.
a. Correlation
b. Regression
c. Standard error
d. None of these
43. If there are two variables, there can be at most............................... number of
regression lines.
a. One
b. Two
c. Three
d. Infinite
44. If the regression line is Y on X, then the variable X is known as..........................
a. Independent variable
b. Explanatory variable
c. Regressor
d. All the above
45. Regression line is also called.................................
a. Estimating equation
b. Prediction equation
c. Line of average relationship
d. All the above
46. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Explained variable
c. Both a and b
d. Regressor
47. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Bothe a and b
d. None of the above
48. If the regression line is Y on X, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Both a and b
d. None of the above
49. The point of intersection of two regression lines is..........................
a.(0,0) b.(1,1) c.(x,y) d.(x ? , ?) 50. If r = ? 1, the two regression lines are...............................
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
51. If r = 1, the angle between the two regression lines is.........................
a. Ninety degree
b. Thirty degree
c. Zero degree
d. Sixty degree
52. If r = 0, the two regression lines are:
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
53. If b xy and b yx are two regression coefficients, they have:
a. Same signs
b. Opposite signs
c. Either a or b
d. None of the above.
54. If b yx > 1, then b xy is:
a. Greater than one
b. Less than one
c. Equal to one
d. Equal to zero
55. If X and Y are independent, the value of b yx is equal to ........................
a. Zero
b. One
c. Infinity
d. Any positive value
56. The property that both the regression coefficients and correlation coefficient have
same signs is called................................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
57. The property that b yx > 1 implies that b xy < 1 is known as .....................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
58. If X and Y are independent, the property b yx = b xy = 0 is called ...................
a. Fundamental property
b. Magnitude property
c. Mean property
d. Independence property
59. The Correlation coefficient between two variables is the ........................... of their
regression coefficients.
a. Arithmetic mean
b. Geometric mean
c. Harmonic mean
d. None of these
60. If the correlation coefficient between two variables, X and Y, is negative, then the
regression coefficient of Y on X is.............................
a. Positive
b. Negative
c. Not certain
d. None of these
61. The G M of two regression coefficients b yx and b xy is equal to ..........................
a. r
b. r
2
c. 1 r
2
d. None of these
62. If one regression coefficient is negative, the other is ...............................
a. 0
b. ve
c. +ve
d. Either a or b
63. Arithmetic mean of the two regression coefficients is:
a. Equal to correlation coefficient
b. Greater than correlation coefficient
c. Less than correlation coefficient
d. Equal to or greater than correlation coefficient
64. b yx is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
65. b xy is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
66. In ..................... regression analysis, only one independent variable is used to explain
the dependent variable.
a. Multiple
b. Non-linear
c. Linear
d. None of these
67. The regression coefficient and correlation coefficient of the two variables will be the
same if their .............................are same.
a. Arithmetic mean
b. Standard deviation
c. Geometric mean
d. Mean deviation
68. The idea of testing of hypothesis was first set forth by ..........................
a. R A Fisher
b. J Neyman
c. E L Lehman
d. A Wald
69. By testing of hypothesis, we mean:
a. A significant procedure in Statistics
b. A method of making a significant statement
c. A rule for accepting or rejecting hypothesis
d. A significant estimation of a problem.
70. Testing of hypothesis and ......................are the two branches of statistical inference.
a. Statistical analysis
b. Probability
c. Correlation analysis
d. Estimation
71. ......................... is the original hypothesis
a. Null hypothesis
b. Alternative hypothesis
c. Either a or b
d. None of these
72. A null hypothesis is denoted by...........................
a. H 0
b. H 1
c. NH
d. None of these
73. An alternative hypothesis is denoted by...........................
a. H 0
b. H 1
c. AH
d. None of these
74. Whether a test is one sided or two sided, depends on........................
a. Simple hypothesis
b. Composite hypothesis
c. Null hypothesis
d. Alternative hypothesis
75. A wrong decision about null hypothesis leads to:
a. One kind of error
b. Two kinds of errors
c. Three kinds of errors
d. Four kinds of errors
76. Power of a test is related to ........................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
77. Level of significance is the probability of................................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
78. Which type of error is more severe error:
a. Type I error
b. Type II error
c. Both a and b
d. None of these
79. Type II error means..............................
a. Accepting a true hypothesis
b. Rejecting a true hypothesis
c. Accepting a wrong hypothesis
d. Rejecting a wrong hypothesis
80. Type I error is denoted by...........................
a. Alpha
b. Beta
c. Gamma
d. None of these
81. Type II error is denoted by....................................
a. Alpha
b. Beta
c. Gamma
d. None of these
82. The level of probability of accepting a true null hypothesis is called........................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. D,
83. The probability of rejecting a true null hypothesis is called.......................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. None of these
84. 1 Level of confidence =.............................
a. Level of significance
b. Degree of freedom
c. Either a or b
d. None of these
85. While testing a hypothesis, if level of significance is not mentioned, we take
................... level of significance.
a. 1%
b. 2%
c. 5%
d. 10%
86. A sample is treated as large sample, when its size is.............................
a. More than 100
b. More than 75
c. More than 50
d. More than 30
87. ...............refers to the number of independent observations which is obtained by
subtracting the number of constraints from the total number of observations.
a. Sample size
b. Degree of freedom
c. Level of significance
d. Level of confidence
88. Total number of observations number of constraints =......................
a. Level of significance
b. Degree of freedom
c. Level of confidence
d. Sample size
89. Accepting a null hypothesis when it is false is called................................
a. Type I error
b. Type II error
c. Probable error
d. Standard error
90. Accepting a null hypothesis when it is true is called................................
a. Type I error
b. Type II error
c. Probable error
d. No error
91. When sample is small,....................... test is applied.
a. t-test
b. Z test
c. F test
d. None of these
92. To test a hypothesis about proportions of items in a class, the usual test is..............
a. t-test
b. Z- test
c. F test
d. Sign test
93. Students t -test is applicable when:
a. The values of the variate are independent
b. The variable is distributed normally
c. The sample is small
d. All the above
94. Testing of hypotheses H o : ?= 45 vs. H 1 : ?> 45 when the population standard
deviation is known, the appropriate test is:
a. t-test
b. Z test
c. Chi-square test
d. F test
95. Testing of hypotheses H o : ? = 85 vs. H 1 : ? > 85, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
96. Testing of hypotheses H o : ? = 65 vs. H 1 : ? < 65, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
97. Testing of hypotheses H o : ? = 65 vs. H 1 : ? ` 65, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
98. Students t -test was designed by ............................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
99. Z test was designed by ........................................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
100. Z test was designed by .......................................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
101.The range of F ratio is ........................................
a. 1 to + 1
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MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
c. 1 and +1
d. 3 and +3
15. A high degree of +ve correlation between availability of rainfall and weight of weight
of people is:
a. A meaningless correlation
b. A spurious correlation
c. A nonsense correlation
d. All of the above
16. If the ratio of change in one variable is equal to the ratio of change in the other
variable, then the correlation is said to be .....................
a. Linear
b. Non-linear
c. Curvilinear
d. None of these
17. Pearsonian correlation coefficient if denoted by the symbol ...............
a. K
b. r
c. R
d. None of these
18. If r= +1, the correlation is said to be ...................
a. High degree of +ve correlation
b. High degree of ve correlation
c. Perfect +ve correlation
d. Perfect ve correlation
19. If the dots in a scatter diagram fall on a narrow band, it indicates a .......................
degree of correlation.
a. Zero
b. High
c. Low
d. None of these
20. If all the points of a dot chart lie on a straight line vertical to the X-axis, then
coefficient of correlation is ...................
a. 0
b. +1
c. 1
d. None of these
21. If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes
.................................of correlation.
a. High degree
b. Low degree
c. Moderate degree
d. Absence
22. If dots are lying on a scatter diagram in a haphazard manner, then r = ......................
a. 0
b. +1
c. 1
d. None of these
23. The unit of Coefficient of correlation is ........................
a. Percentage
b. Ratio
c. Same unit of the data
d. No unit
24. Product moment correlation method is also called ........................
a. Rank correlation
b. Pearsonian correlation
c. Concurrent deviation
d. None of these
25. The ve sign of correlation coefficient between X and Y indicates.............................
a. X decreasing, Y increasing
b. X increasing, Y decreasing
c. Any of the above
d. There is no change in X and Y
26. Coefficient of correlation explains .........................of the relationship between two
variables.
a. Degree
b. Direction
c. Both of the above
d. None of the above
27. For perfect correlation, the coefficient of correlation should be ..........................
a. ? 1
b. + 1
c. 1
d. 0
28. Rank correlation coefficient was discovered by....................................
a. Fisher
b. Spearman
c. Karl Pearson
d. Bowley
29. The rank correlation coefficient is always............................
a. + 1
b. 1
c. 0
d. Between + 1 and 1
30. Spearmans Rank Correlation Coefficient is usually denoted by....................
a. k
b. r
c. S
d. R
31. Probable error is used to:
a. Test the reliability of correlation coefficient
b. Measure the error in correlation coefficient
c. Both a an b
d. None of these
32. If coefficient of correlation is more than ................of its P E, correlation is significant.
a. 2 times
b. 5 times
c. 6 times
d. 10 times
33. In correlation analysis, Probable Error = ........................ x 0.6745
a. Standard deviation
b. Standard error
c. Coefficient of correlation
d. None of these
34. Coefficient of concurrent deviation depends on .......................
a. The signs of the deviations
b. The magnitude of the deviations
c. Bothe a and b
d. None of these
35. Correlation analysis between two sets of data only is called....................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
36. Correlation analysis between one dependent variable with one independent variable
by keeping the other independent variables as constant is called......................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
37. Study of correlation among three or more variables simultaneously is called.............
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
38. If r = 0.8, coefficient of determination is.....................................
a. 80%
b. 8%
c. 64%
d. 0.8%
39. If r is the simple correlation coefficient, the quantity r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
40. If r is the simple correlation coefficient, the quantity 1 -- r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
41. The term regression was first used by..........................
a. Karl Pearson
b. Spearman
c. R A Fisher
d. Francis Galton
42. ....................refers to analysis of average relationship between two variables to
provide mechanism for prediction.
a. Correlation
b. Regression
c. Standard error
d. None of these
43. If there are two variables, there can be at most............................... number of
regression lines.
a. One
b. Two
c. Three
d. Infinite
44. If the regression line is Y on X, then the variable X is known as..........................
a. Independent variable
b. Explanatory variable
c. Regressor
d. All the above
45. Regression line is also called.................................
a. Estimating equation
b. Prediction equation
c. Line of average relationship
d. All the above
46. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Explained variable
c. Both a and b
d. Regressor
47. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Bothe a and b
d. None of the above
48. If the regression line is Y on X, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Both a and b
d. None of the above
49. The point of intersection of two regression lines is..........................
a.(0,0) b.(1,1) c.(x,y) d.(x ? , ?) 50. If r = ? 1, the two regression lines are...............................
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
51. If r = 1, the angle between the two regression lines is.........................
a. Ninety degree
b. Thirty degree
c. Zero degree
d. Sixty degree
52. If r = 0, the two regression lines are:
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
53. If b xy and b yx are two regression coefficients, they have:
a. Same signs
b. Opposite signs
c. Either a or b
d. None of the above.
54. If b yx > 1, then b xy is:
a. Greater than one
b. Less than one
c. Equal to one
d. Equal to zero
55. If X and Y are independent, the value of b yx is equal to ........................
a. Zero
b. One
c. Infinity
d. Any positive value
56. The property that both the regression coefficients and correlation coefficient have
same signs is called................................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
57. The property that b yx > 1 implies that b xy < 1 is known as .....................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
58. If X and Y are independent, the property b yx = b xy = 0 is called ...................
a. Fundamental property
b. Magnitude property
c. Mean property
d. Independence property
59. The Correlation coefficient between two variables is the ........................... of their
regression coefficients.
a. Arithmetic mean
b. Geometric mean
c. Harmonic mean
d. None of these
60. If the correlation coefficient between two variables, X and Y, is negative, then the
regression coefficient of Y on X is.............................
a. Positive
b. Negative
c. Not certain
d. None of these
61. The G M of two regression coefficients b yx and b xy is equal to ..........................
a. r
b. r
2
c. 1 r
2
d. None of these
62. If one regression coefficient is negative, the other is ...............................
a. 0
b. ve
c. +ve
d. Either a or b
63. Arithmetic mean of the two regression coefficients is:
a. Equal to correlation coefficient
b. Greater than correlation coefficient
c. Less than correlation coefficient
d. Equal to or greater than correlation coefficient
64. b yx is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
65. b xy is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
66. In ..................... regression analysis, only one independent variable is used to explain
the dependent variable.
a. Multiple
b. Non-linear
c. Linear
d. None of these
67. The regression coefficient and correlation coefficient of the two variables will be the
same if their .............................are same.
a. Arithmetic mean
b. Standard deviation
c. Geometric mean
d. Mean deviation
68. The idea of testing of hypothesis was first set forth by ..........................
a. R A Fisher
b. J Neyman
c. E L Lehman
d. A Wald
69. By testing of hypothesis, we mean:
a. A significant procedure in Statistics
b. A method of making a significant statement
c. A rule for accepting or rejecting hypothesis
d. A significant estimation of a problem.
70. Testing of hypothesis and ......................are the two branches of statistical inference.
a. Statistical analysis
b. Probability
c. Correlation analysis
d. Estimation
71. ......................... is the original hypothesis
a. Null hypothesis
b. Alternative hypothesis
c. Either a or b
d. None of these
72. A null hypothesis is denoted by...........................
a. H 0
b. H 1
c. NH
d. None of these
73. An alternative hypothesis is denoted by...........................
a. H 0
b. H 1
c. AH
d. None of these
74. Whether a test is one sided or two sided, depends on........................
a. Simple hypothesis
b. Composite hypothesis
c. Null hypothesis
d. Alternative hypothesis
75. A wrong decision about null hypothesis leads to:
a. One kind of error
b. Two kinds of errors
c. Three kinds of errors
d. Four kinds of errors
76. Power of a test is related to ........................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
77. Level of significance is the probability of................................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
78. Which type of error is more severe error:
a. Type I error
b. Type II error
c. Both a and b
d. None of these
79. Type II error means..............................
a. Accepting a true hypothesis
b. Rejecting a true hypothesis
c. Accepting a wrong hypothesis
d. Rejecting a wrong hypothesis
80. Type I error is denoted by...........................
a. Alpha
b. Beta
c. Gamma
d. None of these
81. Type II error is denoted by....................................
a. Alpha
b. Beta
c. Gamma
d. None of these
82. The level of probability of accepting a true null hypothesis is called........................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. D,
83. The probability of rejecting a true null hypothesis is called.......................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. None of these
84. 1 Level of confidence =.............................
a. Level of significance
b. Degree of freedom
c. Either a or b
d. None of these
85. While testing a hypothesis, if level of significance is not mentioned, we take
................... level of significance.
a. 1%
b. 2%
c. 5%
d. 10%
86. A sample is treated as large sample, when its size is.............................
a. More than 100
b. More than 75
c. More than 50
d. More than 30
87. ...............refers to the number of independent observations which is obtained by
subtracting the number of constraints from the total number of observations.
a. Sample size
b. Degree of freedom
c. Level of significance
d. Level of confidence
88. Total number of observations number of constraints =......................
a. Level of significance
b. Degree of freedom
c. Level of confidence
d. Sample size
89. Accepting a null hypothesis when it is false is called................................
a. Type I error
b. Type II error
c. Probable error
d. Standard error
90. Accepting a null hypothesis when it is true is called................................
a. Type I error
b. Type II error
c. Probable error
d. No error
91. When sample is small,....................... test is applied.
a. t-test
b. Z test
c. F test
d. None of these
92. To test a hypothesis about proportions of items in a class, the usual test is..............
a. t-test
b. Z- test
c. F test
d. Sign test
93. Students t -test is applicable when:
a. The values of the variate are independent
b. The variable is distributed normally
c. The sample is small
d. All the above
94. Testing of hypotheses H o : ?= 45 vs. H 1 : ?> 45 when the population standard
deviation is known, the appropriate test is:
a. t-test
b. Z test
c. Chi-square test
d. F test
95. Testing of hypotheses H o : ? = 85 vs. H 1 : ? > 85, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
96. Testing of hypotheses H o : ? = 65 vs. H 1 : ? < 65, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
97. Testing of hypotheses H o : ? = 65 vs. H 1 : ? ` 65, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
98. Students t -test was designed by ............................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
99. Z test was designed by ........................................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
100. Z test was designed by .......................................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
101.The range of F ratio is ........................................
a. 1 to + 1
b. to
c. 0 to
d. 0 to 1
102. While computing F ratio, customarily, the larger variance is taken as .....................
a. Denominator
b. Numerator
c. Either way
d. None of these
103. Chi-square test was first used by ...............................
a. R A Fisher
b. William Gosset
c. James Bernoulli
d. Karl Pearson
104. The Chi-squre quantity ranges from ........................ to ...........................
a. 1 to + 1
b. to
c. 0 to
d. 0 to 1
105.Degrees of freedom for Chi-squre test in case of contingency table of order (2x2) is:
a. 4
b. 3
c. 2
d. 1
106.Degrees of freedom for Chi-squre test in case of contingency table of order (4x3) is:
a. 4
b. 3
c. 6
d. 7
107.Degrees of freedom for Chi-squre test in case of contingency table of order (5x5) is:
a. 25
b. 16
c. 10
d. Infinity
108.The magnitude of the difference between observed frequencies and expected
frequencies is called .......................
a. F value
b. Z value
c. t value
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MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
c. 1 and +1
d. 3 and +3
15. A high degree of +ve correlation between availability of rainfall and weight of weight
of people is:
a. A meaningless correlation
b. A spurious correlation
c. A nonsense correlation
d. All of the above
16. If the ratio of change in one variable is equal to the ratio of change in the other
variable, then the correlation is said to be .....................
a. Linear
b. Non-linear
c. Curvilinear
d. None of these
17. Pearsonian correlation coefficient if denoted by the symbol ...............
a. K
b. r
c. R
d. None of these
18. If r= +1, the correlation is said to be ...................
a. High degree of +ve correlation
b. High degree of ve correlation
c. Perfect +ve correlation
d. Perfect ve correlation
19. If the dots in a scatter diagram fall on a narrow band, it indicates a .......................
degree of correlation.
a. Zero
b. High
c. Low
d. None of these
20. If all the points of a dot chart lie on a straight line vertical to the X-axis, then
coefficient of correlation is ...................
a. 0
b. +1
c. 1
d. None of these
21. If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes
.................................of correlation.
a. High degree
b. Low degree
c. Moderate degree
d. Absence
22. If dots are lying on a scatter diagram in a haphazard manner, then r = ......................
a. 0
b. +1
c. 1
d. None of these
23. The unit of Coefficient of correlation is ........................
a. Percentage
b. Ratio
c. Same unit of the data
d. No unit
24. Product moment correlation method is also called ........................
a. Rank correlation
b. Pearsonian correlation
c. Concurrent deviation
d. None of these
25. The ve sign of correlation coefficient between X and Y indicates.............................
a. X decreasing, Y increasing
b. X increasing, Y decreasing
c. Any of the above
d. There is no change in X and Y
26. Coefficient of correlation explains .........................of the relationship between two
variables.
a. Degree
b. Direction
c. Both of the above
d. None of the above
27. For perfect correlation, the coefficient of correlation should be ..........................
a. ? 1
b. + 1
c. 1
d. 0
28. Rank correlation coefficient was discovered by....................................
a. Fisher
b. Spearman
c. Karl Pearson
d. Bowley
29. The rank correlation coefficient is always............................
a. + 1
b. 1
c. 0
d. Between + 1 and 1
30. Spearmans Rank Correlation Coefficient is usually denoted by....................
a. k
b. r
c. S
d. R
31. Probable error is used to:
a. Test the reliability of correlation coefficient
b. Measure the error in correlation coefficient
c. Both a an b
d. None of these
32. If coefficient of correlation is more than ................of its P E, correlation is significant.
a. 2 times
b. 5 times
c. 6 times
d. 10 times
33. In correlation analysis, Probable Error = ........................ x 0.6745
a. Standard deviation
b. Standard error
c. Coefficient of correlation
d. None of these
34. Coefficient of concurrent deviation depends on .......................
a. The signs of the deviations
b. The magnitude of the deviations
c. Bothe a and b
d. None of these
35. Correlation analysis between two sets of data only is called....................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
36. Correlation analysis between one dependent variable with one independent variable
by keeping the other independent variables as constant is called......................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
37. Study of correlation among three or more variables simultaneously is called.............
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
38. If r = 0.8, coefficient of determination is.....................................
a. 80%
b. 8%
c. 64%
d. 0.8%
39. If r is the simple correlation coefficient, the quantity r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
40. If r is the simple correlation coefficient, the quantity 1 -- r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
41. The term regression was first used by..........................
a. Karl Pearson
b. Spearman
c. R A Fisher
d. Francis Galton
42. ....................refers to analysis of average relationship between two variables to
provide mechanism for prediction.
a. Correlation
b. Regression
c. Standard error
d. None of these
43. If there are two variables, there can be at most............................... number of
regression lines.
a. One
b. Two
c. Three
d. Infinite
44. If the regression line is Y on X, then the variable X is known as..........................
a. Independent variable
b. Explanatory variable
c. Regressor
d. All the above
45. Regression line is also called.................................
a. Estimating equation
b. Prediction equation
c. Line of average relationship
d. All the above
46. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Explained variable
c. Both a and b
d. Regressor
47. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Bothe a and b
d. None of the above
48. If the regression line is Y on X, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Both a and b
d. None of the above
49. The point of intersection of two regression lines is..........................
a.(0,0) b.(1,1) c.(x,y) d.(x ? , ?) 50. If r = ? 1, the two regression lines are...............................
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
51. If r = 1, the angle between the two regression lines is.........................
a. Ninety degree
b. Thirty degree
c. Zero degree
d. Sixty degree
52. If r = 0, the two regression lines are:
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
53. If b xy and b yx are two regression coefficients, they have:
a. Same signs
b. Opposite signs
c. Either a or b
d. None of the above.
54. If b yx > 1, then b xy is:
a. Greater than one
b. Less than one
c. Equal to one
d. Equal to zero
55. If X and Y are independent, the value of b yx is equal to ........................
a. Zero
b. One
c. Infinity
d. Any positive value
56. The property that both the regression coefficients and correlation coefficient have
same signs is called................................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
57. The property that b yx > 1 implies that b xy < 1 is known as .....................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
58. If X and Y are independent, the property b yx = b xy = 0 is called ...................
a. Fundamental property
b. Magnitude property
c. Mean property
d. Independence property
59. The Correlation coefficient between two variables is the ........................... of their
regression coefficients.
a. Arithmetic mean
b. Geometric mean
c. Harmonic mean
d. None of these
60. If the correlation coefficient between two variables, X and Y, is negative, then the
regression coefficient of Y on X is.............................
a. Positive
b. Negative
c. Not certain
d. None of these
61. The G M of two regression coefficients b yx and b xy is equal to ..........................
a. r
b. r
2
c. 1 r
2
d. None of these
62. If one regression coefficient is negative, the other is ...............................
a. 0
b. ve
c. +ve
d. Either a or b
63. Arithmetic mean of the two regression coefficients is:
a. Equal to correlation coefficient
b. Greater than correlation coefficient
c. Less than correlation coefficient
d. Equal to or greater than correlation coefficient
64. b yx is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
65. b xy is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
66. In ..................... regression analysis, only one independent variable is used to explain
the dependent variable.
a. Multiple
b. Non-linear
c. Linear
d. None of these
67. The regression coefficient and correlation coefficient of the two variables will be the
same if their .............................are same.
a. Arithmetic mean
b. Standard deviation
c. Geometric mean
d. Mean deviation
68. The idea of testing of hypothesis was first set forth by ..........................
a. R A Fisher
b. J Neyman
c. E L Lehman
d. A Wald
69. By testing of hypothesis, we mean:
a. A significant procedure in Statistics
b. A method of making a significant statement
c. A rule for accepting or rejecting hypothesis
d. A significant estimation of a problem.
70. Testing of hypothesis and ......................are the two branches of statistical inference.
a. Statistical analysis
b. Probability
c. Correlation analysis
d. Estimation
71. ......................... is the original hypothesis
a. Null hypothesis
b. Alternative hypothesis
c. Either a or b
d. None of these
72. A null hypothesis is denoted by...........................
a. H 0
b. H 1
c. NH
d. None of these
73. An alternative hypothesis is denoted by...........................
a. H 0
b. H 1
c. AH
d. None of these
74. Whether a test is one sided or two sided, depends on........................
a. Simple hypothesis
b. Composite hypothesis
c. Null hypothesis
d. Alternative hypothesis
75. A wrong decision about null hypothesis leads to:
a. One kind of error
b. Two kinds of errors
c. Three kinds of errors
d. Four kinds of errors
76. Power of a test is related to ........................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
77. Level of significance is the probability of................................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
78. Which type of error is more severe error:
a. Type I error
b. Type II error
c. Both a and b
d. None of these
79. Type II error means..............................
a. Accepting a true hypothesis
b. Rejecting a true hypothesis
c. Accepting a wrong hypothesis
d. Rejecting a wrong hypothesis
80. Type I error is denoted by...........................
a. Alpha
b. Beta
c. Gamma
d. None of these
81. Type II error is denoted by....................................
a. Alpha
b. Beta
c. Gamma
d. None of these
82. The level of probability of accepting a true null hypothesis is called........................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. D,
83. The probability of rejecting a true null hypothesis is called.......................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. None of these
84. 1 Level of confidence =.............................
a. Level of significance
b. Degree of freedom
c. Either a or b
d. None of these
85. While testing a hypothesis, if level of significance is not mentioned, we take
................... level of significance.
a. 1%
b. 2%
c. 5%
d. 10%
86. A sample is treated as large sample, when its size is.............................
a. More than 100
b. More than 75
c. More than 50
d. More than 30
87. ...............refers to the number of independent observations which is obtained by
subtracting the number of constraints from the total number of observations.
a. Sample size
b. Degree of freedom
c. Level of significance
d. Level of confidence
88. Total number of observations number of constraints =......................
a. Level of significance
b. Degree of freedom
c. Level of confidence
d. Sample size
89. Accepting a null hypothesis when it is false is called................................
a. Type I error
b. Type II error
c. Probable error
d. Standard error
90. Accepting a null hypothesis when it is true is called................................
a. Type I error
b. Type II error
c. Probable error
d. No error
91. When sample is small,....................... test is applied.
a. t-test
b. Z test
c. F test
d. None of these
92. To test a hypothesis about proportions of items in a class, the usual test is..............
a. t-test
b. Z- test
c. F test
d. Sign test
93. Students t -test is applicable when:
a. The values of the variate are independent
b. The variable is distributed normally
c. The sample is small
d. All the above
94. Testing of hypotheses H o : ?= 45 vs. H 1 : ?> 45 when the population standard
deviation is known, the appropriate test is:
a. t-test
b. Z test
c. Chi-square test
d. F test
95. Testing of hypotheses H o : ? = 85 vs. H 1 : ? > 85, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
96. Testing of hypotheses H o : ? = 65 vs. H 1 : ? < 65, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
97. Testing of hypotheses H o : ? = 65 vs. H 1 : ? ` 65, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
98. Students t -test was designed by ............................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
99. Z test was designed by ........................................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
100. Z test was designed by .......................................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
101.The range of F ratio is ........................................
a. 1 to + 1
b. to
c. 0 to
d. 0 to 1
102. While computing F ratio, customarily, the larger variance is taken as .....................
a. Denominator
b. Numerator
c. Either way
d. None of these
103. Chi-square test was first used by ...............................
a. R A Fisher
b. William Gosset
c. James Bernoulli
d. Karl Pearson
104. The Chi-squre quantity ranges from ........................ to ...........................
a. 1 to + 1
b. to
c. 0 to
d. 0 to 1
105.Degrees of freedom for Chi-squre test in case of contingency table of order (2x2) is:
a. 4
b. 3
c. 2
d. 1
106.Degrees of freedom for Chi-squre test in case of contingency table of order (4x3) is:
a. 4
b. 3
c. 6
d. 7
107.Degrees of freedom for Chi-squre test in case of contingency table of order (5x5) is:
a. 25
b. 16
c. 10
d. Infinity
108.The magnitude of the difference between observed frequencies and expected
frequencies is called .......................
a. F value
b. Z value
c. t value
d. Chi-square value
109.When the expected frequencies and observed frequencies completely coincide, the
chi-square value will be ..............................
a. + 1
b. 1
c. 0
d. None of these
110.If the discrepancy between observed and expected frequencies are greater,
......................... will be the chi-square value.
a. Greater
b. Smaller
c. Zero
d. None of these
111.Calculated value of chi-square is always........................
a. Positive
b. Negative
c. Zero
d. None of these
112.While applying chi-square test, the frequency in any cell should not be ......................
a. More than 5
b. Less than 5
c. More than 10
d. Less than 10
113.Analysis of variance utilises..................
a. F test
b. Chi square test
c. Z test
d. t test
114.In one way ANOVA, the variances are:
a. Within samples
b. Between samples
c. Total
d. All
115.The technique of analysis of variance was developed by .............................
a. Frank Wilcoxon
b. Karl Pearson
c. R A Fisher
d. Kolmogrov
116.Non-parametric test is :
a. Distribution free test
b. Not concerned with parameter
FirstRanker.com - FirstRanker's Choice
MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
c. 1 and +1
d. 3 and +3
15. A high degree of +ve correlation between availability of rainfall and weight of weight
of people is:
a. A meaningless correlation
b. A spurious correlation
c. A nonsense correlation
d. All of the above
16. If the ratio of change in one variable is equal to the ratio of change in the other
variable, then the correlation is said to be .....................
a. Linear
b. Non-linear
c. Curvilinear
d. None of these
17. Pearsonian correlation coefficient if denoted by the symbol ...............
a. K
b. r
c. R
d. None of these
18. If r= +1, the correlation is said to be ...................
a. High degree of +ve correlation
b. High degree of ve correlation
c. Perfect +ve correlation
d. Perfect ve correlation
19. If the dots in a scatter diagram fall on a narrow band, it indicates a .......................
degree of correlation.
a. Zero
b. High
c. Low
d. None of these
20. If all the points of a dot chart lie on a straight line vertical to the X-axis, then
coefficient of correlation is ...................
a. 0
b. +1
c. 1
d. None of these
21. If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes
.................................of correlation.
a. High degree
b. Low degree
c. Moderate degree
d. Absence
22. If dots are lying on a scatter diagram in a haphazard manner, then r = ......................
a. 0
b. +1
c. 1
d. None of these
23. The unit of Coefficient of correlation is ........................
a. Percentage
b. Ratio
c. Same unit of the data
d. No unit
24. Product moment correlation method is also called ........................
a. Rank correlation
b. Pearsonian correlation
c. Concurrent deviation
d. None of these
25. The ve sign of correlation coefficient between X and Y indicates.............................
a. X decreasing, Y increasing
b. X increasing, Y decreasing
c. Any of the above
d. There is no change in X and Y
26. Coefficient of correlation explains .........................of the relationship between two
variables.
a. Degree
b. Direction
c. Both of the above
d. None of the above
27. For perfect correlation, the coefficient of correlation should be ..........................
a. ? 1
b. + 1
c. 1
d. 0
28. Rank correlation coefficient was discovered by....................................
a. Fisher
b. Spearman
c. Karl Pearson
d. Bowley
29. The rank correlation coefficient is always............................
a. + 1
b. 1
c. 0
d. Between + 1 and 1
30. Spearmans Rank Correlation Coefficient is usually denoted by....................
a. k
b. r
c. S
d. R
31. Probable error is used to:
a. Test the reliability of correlation coefficient
b. Measure the error in correlation coefficient
c. Both a an b
d. None of these
32. If coefficient of correlation is more than ................of its P E, correlation is significant.
a. 2 times
b. 5 times
c. 6 times
d. 10 times
33. In correlation analysis, Probable Error = ........................ x 0.6745
a. Standard deviation
b. Standard error
c. Coefficient of correlation
d. None of these
34. Coefficient of concurrent deviation depends on .......................
a. The signs of the deviations
b. The magnitude of the deviations
c. Bothe a and b
d. None of these
35. Correlation analysis between two sets of data only is called....................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
36. Correlation analysis between one dependent variable with one independent variable
by keeping the other independent variables as constant is called......................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
37. Study of correlation among three or more variables simultaneously is called.............
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
38. If r = 0.8, coefficient of determination is.....................................
a. 80%
b. 8%
c. 64%
d. 0.8%
39. If r is the simple correlation coefficient, the quantity r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
40. If r is the simple correlation coefficient, the quantity 1 -- r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
41. The term regression was first used by..........................
a. Karl Pearson
b. Spearman
c. R A Fisher
d. Francis Galton
42. ....................refers to analysis of average relationship between two variables to
provide mechanism for prediction.
a. Correlation
b. Regression
c. Standard error
d. None of these
43. If there are two variables, there can be at most............................... number of
regression lines.
a. One
b. Two
c. Three
d. Infinite
44. If the regression line is Y on X, then the variable X is known as..........................
a. Independent variable
b. Explanatory variable
c. Regressor
d. All the above
45. Regression line is also called.................................
a. Estimating equation
b. Prediction equation
c. Line of average relationship
d. All the above
46. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Explained variable
c. Both a and b
d. Regressor
47. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Bothe a and b
d. None of the above
48. If the regression line is Y on X, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Both a and b
d. None of the above
49. The point of intersection of two regression lines is..........................
a.(0,0) b.(1,1) c.(x,y) d.(x ? , ?) 50. If r = ? 1, the two regression lines are...............................
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
51. If r = 1, the angle between the two regression lines is.........................
a. Ninety degree
b. Thirty degree
c. Zero degree
d. Sixty degree
52. If r = 0, the two regression lines are:
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
53. If b xy and b yx are two regression coefficients, they have:
a. Same signs
b. Opposite signs
c. Either a or b
d. None of the above.
54. If b yx > 1, then b xy is:
a. Greater than one
b. Less than one
c. Equal to one
d. Equal to zero
55. If X and Y are independent, the value of b yx is equal to ........................
a. Zero
b. One
c. Infinity
d. Any positive value
56. The property that both the regression coefficients and correlation coefficient have
same signs is called................................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
57. The property that b yx > 1 implies that b xy < 1 is known as .....................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
58. If X and Y are independent, the property b yx = b xy = 0 is called ...................
a. Fundamental property
b. Magnitude property
c. Mean property
d. Independence property
59. The Correlation coefficient between two variables is the ........................... of their
regression coefficients.
a. Arithmetic mean
b. Geometric mean
c. Harmonic mean
d. None of these
60. If the correlation coefficient between two variables, X and Y, is negative, then the
regression coefficient of Y on X is.............................
a. Positive
b. Negative
c. Not certain
d. None of these
61. The G M of two regression coefficients b yx and b xy is equal to ..........................
a. r
b. r
2
c. 1 r
2
d. None of these
62. If one regression coefficient is negative, the other is ...............................
a. 0
b. ve
c. +ve
d. Either a or b
63. Arithmetic mean of the two regression coefficients is:
a. Equal to correlation coefficient
b. Greater than correlation coefficient
c. Less than correlation coefficient
d. Equal to or greater than correlation coefficient
64. b yx is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
65. b xy is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
66. In ..................... regression analysis, only one independent variable is used to explain
the dependent variable.
a. Multiple
b. Non-linear
c. Linear
d. None of these
67. The regression coefficient and correlation coefficient of the two variables will be the
same if their .............................are same.
a. Arithmetic mean
b. Standard deviation
c. Geometric mean
d. Mean deviation
68. The idea of testing of hypothesis was first set forth by ..........................
a. R A Fisher
b. J Neyman
c. E L Lehman
d. A Wald
69. By testing of hypothesis, we mean:
a. A significant procedure in Statistics
b. A method of making a significant statement
c. A rule for accepting or rejecting hypothesis
d. A significant estimation of a problem.
70. Testing of hypothesis and ......................are the two branches of statistical inference.
a. Statistical analysis
b. Probability
c. Correlation analysis
d. Estimation
71. ......................... is the original hypothesis
a. Null hypothesis
b. Alternative hypothesis
c. Either a or b
d. None of these
72. A null hypothesis is denoted by...........................
a. H 0
b. H 1
c. NH
d. None of these
73. An alternative hypothesis is denoted by...........................
a. H 0
b. H 1
c. AH
d. None of these
74. Whether a test is one sided or two sided, depends on........................
a. Simple hypothesis
b. Composite hypothesis
c. Null hypothesis
d. Alternative hypothesis
75. A wrong decision about null hypothesis leads to:
a. One kind of error
b. Two kinds of errors
c. Three kinds of errors
d. Four kinds of errors
76. Power of a test is related to ........................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
77. Level of significance is the probability of................................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
78. Which type of error is more severe error:
a. Type I error
b. Type II error
c. Both a and b
d. None of these
79. Type II error means..............................
a. Accepting a true hypothesis
b. Rejecting a true hypothesis
c. Accepting a wrong hypothesis
d. Rejecting a wrong hypothesis
80. Type I error is denoted by...........................
a. Alpha
b. Beta
c. Gamma
d. None of these
81. Type II error is denoted by....................................
a. Alpha
b. Beta
c. Gamma
d. None of these
82. The level of probability of accepting a true null hypothesis is called........................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. D,
83. The probability of rejecting a true null hypothesis is called.......................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. None of these
84. 1 Level of confidence =.............................
a. Level of significance
b. Degree of freedom
c. Either a or b
d. None of these
85. While testing a hypothesis, if level of significance is not mentioned, we take
................... level of significance.
a. 1%
b. 2%
c. 5%
d. 10%
86. A sample is treated as large sample, when its size is.............................
a. More than 100
b. More than 75
c. More than 50
d. More than 30
87. ...............refers to the number of independent observations which is obtained by
subtracting the number of constraints from the total number of observations.
a. Sample size
b. Degree of freedom
c. Level of significance
d. Level of confidence
88. Total number of observations number of constraints =......................
a. Level of significance
b. Degree of freedom
c. Level of confidence
d. Sample size
89. Accepting a null hypothesis when it is false is called................................
a. Type I error
b. Type II error
c. Probable error
d. Standard error
90. Accepting a null hypothesis when it is true is called................................
a. Type I error
b. Type II error
c. Probable error
d. No error
91. When sample is small,....................... test is applied.
a. t-test
b. Z test
c. F test
d. None of these
92. To test a hypothesis about proportions of items in a class, the usual test is..............
a. t-test
b. Z- test
c. F test
d. Sign test
93. Students t -test is applicable when:
a. The values of the variate are independent
b. The variable is distributed normally
c. The sample is small
d. All the above
94. Testing of hypotheses H o : ?= 45 vs. H 1 : ?> 45 when the population standard
deviation is known, the appropriate test is:
a. t-test
b. Z test
c. Chi-square test
d. F test
95. Testing of hypotheses H o : ? = 85 vs. H 1 : ? > 85, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
96. Testing of hypotheses H o : ? = 65 vs. H 1 : ? < 65, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
97. Testing of hypotheses H o : ? = 65 vs. H 1 : ? ` 65, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
98. Students t -test was designed by ............................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
99. Z test was designed by ........................................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
100. Z test was designed by .......................................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
101.The range of F ratio is ........................................
a. 1 to + 1
b. to
c. 0 to
d. 0 to 1
102. While computing F ratio, customarily, the larger variance is taken as .....................
a. Denominator
b. Numerator
c. Either way
d. None of these
103. Chi-square test was first used by ...............................
a. R A Fisher
b. William Gosset
c. James Bernoulli
d. Karl Pearson
104. The Chi-squre quantity ranges from ........................ to ...........................
a. 1 to + 1
b. to
c. 0 to
d. 0 to 1
105.Degrees of freedom for Chi-squre test in case of contingency table of order (2x2) is:
a. 4
b. 3
c. 2
d. 1
106.Degrees of freedom for Chi-squre test in case of contingency table of order (4x3) is:
a. 4
b. 3
c. 6
d. 7
107.Degrees of freedom for Chi-squre test in case of contingency table of order (5x5) is:
a. 25
b. 16
c. 10
d. Infinity
108.The magnitude of the difference between observed frequencies and expected
frequencies is called .......................
a. F value
b. Z value
c. t value
d. Chi-square value
109.When the expected frequencies and observed frequencies completely coincide, the
chi-square value will be ..............................
a. + 1
b. 1
c. 0
d. None of these
110.If the discrepancy between observed and expected frequencies are greater,
......................... will be the chi-square value.
a. Greater
b. Smaller
c. Zero
d. None of these
111.Calculated value of chi-square is always........................
a. Positive
b. Negative
c. Zero
d. None of these
112.While applying chi-square test, the frequency in any cell should not be ......................
a. More than 5
b. Less than 5
c. More than 10
d. Less than 10
113.Analysis of variance utilises..................
a. F test
b. Chi square test
c. Z test
d. t test
114.In one way ANOVA, the variances are:
a. Within samples
b. Between samples
c. Total
d. All
115.The technique of analysis of variance was developed by .............................
a. Frank Wilcoxon
b. Karl Pearson
c. R A Fisher
d. Kolmogrov
116.Non-parametric test is :
a. Distribution free test
b. Not concerned with parameter
c. Does not depend on the particular form of the distribution
d. None of these
117..........................tests follow assumptions about population parameters.
a. Parametric
b. Non-parametric
c. One-tailed
d. Two-tailed
118.........................is the simplest and most widely used non-parametric test
a. Sign test
b. K-S test
c. Chi-square tst
d. Wilcoxon matched paired test
119.Runs test was designed by .............................
a. Kruskal and Wallis
b. Kolmogrov and Smirnov
c. Wald wolfowitz
d. Karl Pearson
120.Which one of the following is a non-parametric test?
a. F test
b. Z test
c. t test
d. Wilcoxon test
121.Control charts are also termed as...............................
a. Shewart charts
b. Process behaviour chart
c. Both a and b
d. None of these
122.What type of chart will be used to plot the number of defective in the output of any
process?
a. x ? chart
b. R chart
c. C chart
d. P chart
123.Process control is carried out:
a. Before production
b. During production
c. After production
d. All of the above
124.The dividing lines between random and non-random deviations from mean of the
distribution are known as ..........................
a. Upper Control Limit
FirstRanker.com - FirstRanker's Choice
MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
c. 1 and +1
d. 3 and +3
15. A high degree of +ve correlation between availability of rainfall and weight of weight
of people is:
a. A meaningless correlation
b. A spurious correlation
c. A nonsense correlation
d. All of the above
16. If the ratio of change in one variable is equal to the ratio of change in the other
variable, then the correlation is said to be .....................
a. Linear
b. Non-linear
c. Curvilinear
d. None of these
17. Pearsonian correlation coefficient if denoted by the symbol ...............
a. K
b. r
c. R
d. None of these
18. If r= +1, the correlation is said to be ...................
a. High degree of +ve correlation
b. High degree of ve correlation
c. Perfect +ve correlation
d. Perfect ve correlation
19. If the dots in a scatter diagram fall on a narrow band, it indicates a .......................
degree of correlation.
a. Zero
b. High
c. Low
d. None of these
20. If all the points of a dot chart lie on a straight line vertical to the X-axis, then
coefficient of correlation is ...................
a. 0
b. +1
c. 1
d. None of these
21. If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes
.................................of correlation.
a. High degree
b. Low degree
c. Moderate degree
d. Absence
22. If dots are lying on a scatter diagram in a haphazard manner, then r = ......................
a. 0
b. +1
c. 1
d. None of these
23. The unit of Coefficient of correlation is ........................
a. Percentage
b. Ratio
c. Same unit of the data
d. No unit
24. Product moment correlation method is also called ........................
a. Rank correlation
b. Pearsonian correlation
c. Concurrent deviation
d. None of these
25. The ve sign of correlation coefficient between X and Y indicates.............................
a. X decreasing, Y increasing
b. X increasing, Y decreasing
c. Any of the above
d. There is no change in X and Y
26. Coefficient of correlation explains .........................of the relationship between two
variables.
a. Degree
b. Direction
c. Both of the above
d. None of the above
27. For perfect correlation, the coefficient of correlation should be ..........................
a. ? 1
b. + 1
c. 1
d. 0
28. Rank correlation coefficient was discovered by....................................
a. Fisher
b. Spearman
c. Karl Pearson
d. Bowley
29. The rank correlation coefficient is always............................
a. + 1
b. 1
c. 0
d. Between + 1 and 1
30. Spearmans Rank Correlation Coefficient is usually denoted by....................
a. k
b. r
c. S
d. R
31. Probable error is used to:
a. Test the reliability of correlation coefficient
b. Measure the error in correlation coefficient
c. Both a an b
d. None of these
32. If coefficient of correlation is more than ................of its P E, correlation is significant.
a. 2 times
b. 5 times
c. 6 times
d. 10 times
33. In correlation analysis, Probable Error = ........................ x 0.6745
a. Standard deviation
b. Standard error
c. Coefficient of correlation
d. None of these
34. Coefficient of concurrent deviation depends on .......................
a. The signs of the deviations
b. The magnitude of the deviations
c. Bothe a and b
d. None of these
35. Correlation analysis between two sets of data only is called....................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
36. Correlation analysis between one dependent variable with one independent variable
by keeping the other independent variables as constant is called......................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
37. Study of correlation among three or more variables simultaneously is called.............
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
38. If r = 0.8, coefficient of determination is.....................................
a. 80%
b. 8%
c. 64%
d. 0.8%
39. If r is the simple correlation coefficient, the quantity r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
40. If r is the simple correlation coefficient, the quantity 1 -- r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
41. The term regression was first used by..........................
a. Karl Pearson
b. Spearman
c. R A Fisher
d. Francis Galton
42. ....................refers to analysis of average relationship between two variables to
provide mechanism for prediction.
a. Correlation
b. Regression
c. Standard error
d. None of these
43. If there are two variables, there can be at most............................... number of
regression lines.
a. One
b. Two
c. Three
d. Infinite
44. If the regression line is Y on X, then the variable X is known as..........................
a. Independent variable
b. Explanatory variable
c. Regressor
d. All the above
45. Regression line is also called.................................
a. Estimating equation
b. Prediction equation
c. Line of average relationship
d. All the above
46. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Explained variable
c. Both a and b
d. Regressor
47. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Bothe a and b
d. None of the above
48. If the regression line is Y on X, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Both a and b
d. None of the above
49. The point of intersection of two regression lines is..........................
a.(0,0) b.(1,1) c.(x,y) d.(x ? , ?) 50. If r = ? 1, the two regression lines are...............................
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
51. If r = 1, the angle between the two regression lines is.........................
a. Ninety degree
b. Thirty degree
c. Zero degree
d. Sixty degree
52. If r = 0, the two regression lines are:
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
53. If b xy and b yx are two regression coefficients, they have:
a. Same signs
b. Opposite signs
c. Either a or b
d. None of the above.
54. If b yx > 1, then b xy is:
a. Greater than one
b. Less than one
c. Equal to one
d. Equal to zero
55. If X and Y are independent, the value of b yx is equal to ........................
a. Zero
b. One
c. Infinity
d. Any positive value
56. The property that both the regression coefficients and correlation coefficient have
same signs is called................................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
57. The property that b yx > 1 implies that b xy < 1 is known as .....................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
58. If X and Y are independent, the property b yx = b xy = 0 is called ...................
a. Fundamental property
b. Magnitude property
c. Mean property
d. Independence property
59. The Correlation coefficient between two variables is the ........................... of their
regression coefficients.
a. Arithmetic mean
b. Geometric mean
c. Harmonic mean
d. None of these
60. If the correlation coefficient between two variables, X and Y, is negative, then the
regression coefficient of Y on X is.............................
a. Positive
b. Negative
c. Not certain
d. None of these
61. The G M of two regression coefficients b yx and b xy is equal to ..........................
a. r
b. r
2
c. 1 r
2
d. None of these
62. If one regression coefficient is negative, the other is ...............................
a. 0
b. ve
c. +ve
d. Either a or b
63. Arithmetic mean of the two regression coefficients is:
a. Equal to correlation coefficient
b. Greater than correlation coefficient
c. Less than correlation coefficient
d. Equal to or greater than correlation coefficient
64. b yx is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
65. b xy is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
66. In ..................... regression analysis, only one independent variable is used to explain
the dependent variable.
a. Multiple
b. Non-linear
c. Linear
d. None of these
67. The regression coefficient and correlation coefficient of the two variables will be the
same if their .............................are same.
a. Arithmetic mean
b. Standard deviation
c. Geometric mean
d. Mean deviation
68. The idea of testing of hypothesis was first set forth by ..........................
a. R A Fisher
b. J Neyman
c. E L Lehman
d. A Wald
69. By testing of hypothesis, we mean:
a. A significant procedure in Statistics
b. A method of making a significant statement
c. A rule for accepting or rejecting hypothesis
d. A significant estimation of a problem.
70. Testing of hypothesis and ......................are the two branches of statistical inference.
a. Statistical analysis
b. Probability
c. Correlation analysis
d. Estimation
71. ......................... is the original hypothesis
a. Null hypothesis
b. Alternative hypothesis
c. Either a or b
d. None of these
72. A null hypothesis is denoted by...........................
a. H 0
b. H 1
c. NH
d. None of these
73. An alternative hypothesis is denoted by...........................
a. H 0
b. H 1
c. AH
d. None of these
74. Whether a test is one sided or two sided, depends on........................
a. Simple hypothesis
b. Composite hypothesis
c. Null hypothesis
d. Alternative hypothesis
75. A wrong decision about null hypothesis leads to:
a. One kind of error
b. Two kinds of errors
c. Three kinds of errors
d. Four kinds of errors
76. Power of a test is related to ........................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
77. Level of significance is the probability of................................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
78. Which type of error is more severe error:
a. Type I error
b. Type II error
c. Both a and b
d. None of these
79. Type II error means..............................
a. Accepting a true hypothesis
b. Rejecting a true hypothesis
c. Accepting a wrong hypothesis
d. Rejecting a wrong hypothesis
80. Type I error is denoted by...........................
a. Alpha
b. Beta
c. Gamma
d. None of these
81. Type II error is denoted by....................................
a. Alpha
b. Beta
c. Gamma
d. None of these
82. The level of probability of accepting a true null hypothesis is called........................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. D,
83. The probability of rejecting a true null hypothesis is called.......................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. None of these
84. 1 Level of confidence =.............................
a. Level of significance
b. Degree of freedom
c. Either a or b
d. None of these
85. While testing a hypothesis, if level of significance is not mentioned, we take
................... level of significance.
a. 1%
b. 2%
c. 5%
d. 10%
86. A sample is treated as large sample, when its size is.............................
a. More than 100
b. More than 75
c. More than 50
d. More than 30
87. ...............refers to the number of independent observations which is obtained by
subtracting the number of constraints from the total number of observations.
a. Sample size
b. Degree of freedom
c. Level of significance
d. Level of confidence
88. Total number of observations number of constraints =......................
a. Level of significance
b. Degree of freedom
c. Level of confidence
d. Sample size
89. Accepting a null hypothesis when it is false is called................................
a. Type I error
b. Type II error
c. Probable error
d. Standard error
90. Accepting a null hypothesis when it is true is called................................
a. Type I error
b. Type II error
c. Probable error
d. No error
91. When sample is small,....................... test is applied.
a. t-test
b. Z test
c. F test
d. None of these
92. To test a hypothesis about proportions of items in a class, the usual test is..............
a. t-test
b. Z- test
c. F test
d. Sign test
93. Students t -test is applicable when:
a. The values of the variate are independent
b. The variable is distributed normally
c. The sample is small
d. All the above
94. Testing of hypotheses H o : ?= 45 vs. H 1 : ?> 45 when the population standard
deviation is known, the appropriate test is:
a. t-test
b. Z test
c. Chi-square test
d. F test
95. Testing of hypotheses H o : ? = 85 vs. H 1 : ? > 85, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
96. Testing of hypotheses H o : ? = 65 vs. H 1 : ? < 65, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
97. Testing of hypotheses H o : ? = 65 vs. H 1 : ? ` 65, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
98. Students t -test was designed by ............................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
99. Z test was designed by ........................................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
100. Z test was designed by .......................................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
101.The range of F ratio is ........................................
a. 1 to + 1
b. to
c. 0 to
d. 0 to 1
102. While computing F ratio, customarily, the larger variance is taken as .....................
a. Denominator
b. Numerator
c. Either way
d. None of these
103. Chi-square test was first used by ...............................
a. R A Fisher
b. William Gosset
c. James Bernoulli
d. Karl Pearson
104. The Chi-squre quantity ranges from ........................ to ...........................
a. 1 to + 1
b. to
c. 0 to
d. 0 to 1
105.Degrees of freedom for Chi-squre test in case of contingency table of order (2x2) is:
a. 4
b. 3
c. 2
d. 1
106.Degrees of freedom for Chi-squre test in case of contingency table of order (4x3) is:
a. 4
b. 3
c. 6
d. 7
107.Degrees of freedom for Chi-squre test in case of contingency table of order (5x5) is:
a. 25
b. 16
c. 10
d. Infinity
108.The magnitude of the difference between observed frequencies and expected
frequencies is called .......................
a. F value
b. Z value
c. t value
d. Chi-square value
109.When the expected frequencies and observed frequencies completely coincide, the
chi-square value will be ..............................
a. + 1
b. 1
c. 0
d. None of these
110.If the discrepancy between observed and expected frequencies are greater,
......................... will be the chi-square value.
a. Greater
b. Smaller
c. Zero
d. None of these
111.Calculated value of chi-square is always........................
a. Positive
b. Negative
c. Zero
d. None of these
112.While applying chi-square test, the frequency in any cell should not be ......................
a. More than 5
b. Less than 5
c. More than 10
d. Less than 10
113.Analysis of variance utilises..................
a. F test
b. Chi square test
c. Z test
d. t test
114.In one way ANOVA, the variances are:
a. Within samples
b. Between samples
c. Total
d. All
115.The technique of analysis of variance was developed by .............................
a. Frank Wilcoxon
b. Karl Pearson
c. R A Fisher
d. Kolmogrov
116.Non-parametric test is :
a. Distribution free test
b. Not concerned with parameter
c. Does not depend on the particular form of the distribution
d. None of these
117..........................tests follow assumptions about population parameters.
a. Parametric
b. Non-parametric
c. One-tailed
d. Two-tailed
118.........................is the simplest and most widely used non-parametric test
a. Sign test
b. K-S test
c. Chi-square tst
d. Wilcoxon matched paired test
119.Runs test was designed by .............................
a. Kruskal and Wallis
b. Kolmogrov and Smirnov
c. Wald wolfowitz
d. Karl Pearson
120.Which one of the following is a non-parametric test?
a. F test
b. Z test
c. t test
d. Wilcoxon test
121.Control charts are also termed as...............................
a. Shewart charts
b. Process behaviour chart
c. Both a and b
d. None of these
122.What type of chart will be used to plot the number of defective in the output of any
process?
a. x ? chart
b. R chart
c. C chart
d. P chart
123.Process control is carried out:
a. Before production
b. During production
c. After production
d. All of the above
124.The dividing lines between random and non-random deviations from mean of the
distribution are known as ..........................
a. Upper Control Limit
b. Lower Control Limit
c. Control Limits
d. Two sigma limit
125.The control charts used to monitor variable is...........................
a. Range chart
b. P-chart
c. C-chart
d. All of the above
126.The control charts used to monitor attributes is............................
a. Range chart
b. P-chart
c. C-chart
d. All of the above
127.The control charts used for the fraction of defective items in a sample
is............................
a. Range chart
b. P-chart
c. C-chart
d. Mean chart
128.The control charts used for the number of defects per unit is:
a. Range chart
b. P-chart
c. C-chart
d. Mean chart
129.........................is user for testing goodness of fit.
a. Wilcoxon test
b. Sign test
c. K-S Test
d. Chi-square test
130.Which of the following is a non-parametric test?
a. F-test
b. Z-test
c. Wilcoxon test
d. All of the above
131.Regression coefficient is independent of...........................
a. Origin
b. Scale
c. Both a and b
d. Neither origin nor scale
132.The geometric mean of the two regression coefficient, bxy and byx is equal to:
a. r
FirstRanker.com - FirstRanker's Choice
MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
c. 1 and +1
d. 3 and +3
15. A high degree of +ve correlation between availability of rainfall and weight of weight
of people is:
a. A meaningless correlation
b. A spurious correlation
c. A nonsense correlation
d. All of the above
16. If the ratio of change in one variable is equal to the ratio of change in the other
variable, then the correlation is said to be .....................
a. Linear
b. Non-linear
c. Curvilinear
d. None of these
17. Pearsonian correlation coefficient if denoted by the symbol ...............
a. K
b. r
c. R
d. None of these
18. If r= +1, the correlation is said to be ...................
a. High degree of +ve correlation
b. High degree of ve correlation
c. Perfect +ve correlation
d. Perfect ve correlation
19. If the dots in a scatter diagram fall on a narrow band, it indicates a .......................
degree of correlation.
a. Zero
b. High
c. Low
d. None of these
20. If all the points of a dot chart lie on a straight line vertical to the X-axis, then
coefficient of correlation is ...................
a. 0
b. +1
c. 1
d. None of these
21. If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes
.................................of correlation.
a. High degree
b. Low degree
c. Moderate degree
d. Absence
22. If dots are lying on a scatter diagram in a haphazard manner, then r = ......................
a. 0
b. +1
c. 1
d. None of these
23. The unit of Coefficient of correlation is ........................
a. Percentage
b. Ratio
c. Same unit of the data
d. No unit
24. Product moment correlation method is also called ........................
a. Rank correlation
b. Pearsonian correlation
c. Concurrent deviation
d. None of these
25. The ve sign of correlation coefficient between X and Y indicates.............................
a. X decreasing, Y increasing
b. X increasing, Y decreasing
c. Any of the above
d. There is no change in X and Y
26. Coefficient of correlation explains .........................of the relationship between two
variables.
a. Degree
b. Direction
c. Both of the above
d. None of the above
27. For perfect correlation, the coefficient of correlation should be ..........................
a. ? 1
b. + 1
c. 1
d. 0
28. Rank correlation coefficient was discovered by....................................
a. Fisher
b. Spearman
c. Karl Pearson
d. Bowley
29. The rank correlation coefficient is always............................
a. + 1
b. 1
c. 0
d. Between + 1 and 1
30. Spearmans Rank Correlation Coefficient is usually denoted by....................
a. k
b. r
c. S
d. R
31. Probable error is used to:
a. Test the reliability of correlation coefficient
b. Measure the error in correlation coefficient
c. Both a an b
d. None of these
32. If coefficient of correlation is more than ................of its P E, correlation is significant.
a. 2 times
b. 5 times
c. 6 times
d. 10 times
33. In correlation analysis, Probable Error = ........................ x 0.6745
a. Standard deviation
b. Standard error
c. Coefficient of correlation
d. None of these
34. Coefficient of concurrent deviation depends on .......................
a. The signs of the deviations
b. The magnitude of the deviations
c. Bothe a and b
d. None of these
35. Correlation analysis between two sets of data only is called....................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
36. Correlation analysis between one dependent variable with one independent variable
by keeping the other independent variables as constant is called......................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
37. Study of correlation among three or more variables simultaneously is called.............
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
38. If r = 0.8, coefficient of determination is.....................................
a. 80%
b. 8%
c. 64%
d. 0.8%
39. If r is the simple correlation coefficient, the quantity r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
40. If r is the simple correlation coefficient, the quantity 1 -- r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
41. The term regression was first used by..........................
a. Karl Pearson
b. Spearman
c. R A Fisher
d. Francis Galton
42. ....................refers to analysis of average relationship between two variables to
provide mechanism for prediction.
a. Correlation
b. Regression
c. Standard error
d. None of these
43. If there are two variables, there can be at most............................... number of
regression lines.
a. One
b. Two
c. Three
d. Infinite
44. If the regression line is Y on X, then the variable X is known as..........................
a. Independent variable
b. Explanatory variable
c. Regressor
d. All the above
45. Regression line is also called.................................
a. Estimating equation
b. Prediction equation
c. Line of average relationship
d. All the above
46. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Explained variable
c. Both a and b
d. Regressor
47. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Bothe a and b
d. None of the above
48. If the regression line is Y on X, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Both a and b
d. None of the above
49. The point of intersection of two regression lines is..........................
a.(0,0) b.(1,1) c.(x,y) d.(x ? , ?) 50. If r = ? 1, the two regression lines are...............................
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
51. If r = 1, the angle between the two regression lines is.........................
a. Ninety degree
b. Thirty degree
c. Zero degree
d. Sixty degree
52. If r = 0, the two regression lines are:
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
53. If b xy and b yx are two regression coefficients, they have:
a. Same signs
b. Opposite signs
c. Either a or b
d. None of the above.
54. If b yx > 1, then b xy is:
a. Greater than one
b. Less than one
c. Equal to one
d. Equal to zero
55. If X and Y are independent, the value of b yx is equal to ........................
a. Zero
b. One
c. Infinity
d. Any positive value
56. The property that both the regression coefficients and correlation coefficient have
same signs is called................................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
57. The property that b yx > 1 implies that b xy < 1 is known as .....................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
58. If X and Y are independent, the property b yx = b xy = 0 is called ...................
a. Fundamental property
b. Magnitude property
c. Mean property
d. Independence property
59. The Correlation coefficient between two variables is the ........................... of their
regression coefficients.
a. Arithmetic mean
b. Geometric mean
c. Harmonic mean
d. None of these
60. If the correlation coefficient between two variables, X and Y, is negative, then the
regression coefficient of Y on X is.............................
a. Positive
b. Negative
c. Not certain
d. None of these
61. The G M of two regression coefficients b yx and b xy is equal to ..........................
a. r
b. r
2
c. 1 r
2
d. None of these
62. If one regression coefficient is negative, the other is ...............................
a. 0
b. ve
c. +ve
d. Either a or b
63. Arithmetic mean of the two regression coefficients is:
a. Equal to correlation coefficient
b. Greater than correlation coefficient
c. Less than correlation coefficient
d. Equal to or greater than correlation coefficient
64. b yx is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
65. b xy is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
66. In ..................... regression analysis, only one independent variable is used to explain
the dependent variable.
a. Multiple
b. Non-linear
c. Linear
d. None of these
67. The regression coefficient and correlation coefficient of the two variables will be the
same if their .............................are same.
a. Arithmetic mean
b. Standard deviation
c. Geometric mean
d. Mean deviation
68. The idea of testing of hypothesis was first set forth by ..........................
a. R A Fisher
b. J Neyman
c. E L Lehman
d. A Wald
69. By testing of hypothesis, we mean:
a. A significant procedure in Statistics
b. A method of making a significant statement
c. A rule for accepting or rejecting hypothesis
d. A significant estimation of a problem.
70. Testing of hypothesis and ......................are the two branches of statistical inference.
a. Statistical analysis
b. Probability
c. Correlation analysis
d. Estimation
71. ......................... is the original hypothesis
a. Null hypothesis
b. Alternative hypothesis
c. Either a or b
d. None of these
72. A null hypothesis is denoted by...........................
a. H 0
b. H 1
c. NH
d. None of these
73. An alternative hypothesis is denoted by...........................
a. H 0
b. H 1
c. AH
d. None of these
74. Whether a test is one sided or two sided, depends on........................
a. Simple hypothesis
b. Composite hypothesis
c. Null hypothesis
d. Alternative hypothesis
75. A wrong decision about null hypothesis leads to:
a. One kind of error
b. Two kinds of errors
c. Three kinds of errors
d. Four kinds of errors
76. Power of a test is related to ........................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
77. Level of significance is the probability of................................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
78. Which type of error is more severe error:
a. Type I error
b. Type II error
c. Both a and b
d. None of these
79. Type II error means..............................
a. Accepting a true hypothesis
b. Rejecting a true hypothesis
c. Accepting a wrong hypothesis
d. Rejecting a wrong hypothesis
80. Type I error is denoted by...........................
a. Alpha
b. Beta
c. Gamma
d. None of these
81. Type II error is denoted by....................................
a. Alpha
b. Beta
c. Gamma
d. None of these
82. The level of probability of accepting a true null hypothesis is called........................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. D,
83. The probability of rejecting a true null hypothesis is called.......................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. None of these
84. 1 Level of confidence =.............................
a. Level of significance
b. Degree of freedom
c. Either a or b
d. None of these
85. While testing a hypothesis, if level of significance is not mentioned, we take
................... level of significance.
a. 1%
b. 2%
c. 5%
d. 10%
86. A sample is treated as large sample, when its size is.............................
a. More than 100
b. More than 75
c. More than 50
d. More than 30
87. ...............refers to the number of independent observations which is obtained by
subtracting the number of constraints from the total number of observations.
a. Sample size
b. Degree of freedom
c. Level of significance
d. Level of confidence
88. Total number of observations number of constraints =......................
a. Level of significance
b. Degree of freedom
c. Level of confidence
d. Sample size
89. Accepting a null hypothesis when it is false is called................................
a. Type I error
b. Type II error
c. Probable error
d. Standard error
90. Accepting a null hypothesis when it is true is called................................
a. Type I error
b. Type II error
c. Probable error
d. No error
91. When sample is small,....................... test is applied.
a. t-test
b. Z test
c. F test
d. None of these
92. To test a hypothesis about proportions of items in a class, the usual test is..............
a. t-test
b. Z- test
c. F test
d. Sign test
93. Students t -test is applicable when:
a. The values of the variate are independent
b. The variable is distributed normally
c. The sample is small
d. All the above
94. Testing of hypotheses H o : ?= 45 vs. H 1 : ?> 45 when the population standard
deviation is known, the appropriate test is:
a. t-test
b. Z test
c. Chi-square test
d. F test
95. Testing of hypotheses H o : ? = 85 vs. H 1 : ? > 85, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
96. Testing of hypotheses H o : ? = 65 vs. H 1 : ? < 65, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
97. Testing of hypotheses H o : ? = 65 vs. H 1 : ? ` 65, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
98. Students t -test was designed by ............................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
99. Z test was designed by ........................................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
100. Z test was designed by .......................................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
101.The range of F ratio is ........................................
a. 1 to + 1
b. to
c. 0 to
d. 0 to 1
102. While computing F ratio, customarily, the larger variance is taken as .....................
a. Denominator
b. Numerator
c. Either way
d. None of these
103. Chi-square test was first used by ...............................
a. R A Fisher
b. William Gosset
c. James Bernoulli
d. Karl Pearson
104. The Chi-squre quantity ranges from ........................ to ...........................
a. 1 to + 1
b. to
c. 0 to
d. 0 to 1
105.Degrees of freedom for Chi-squre test in case of contingency table of order (2x2) is:
a. 4
b. 3
c. 2
d. 1
106.Degrees of freedom for Chi-squre test in case of contingency table of order (4x3) is:
a. 4
b. 3
c. 6
d. 7
107.Degrees of freedom for Chi-squre test in case of contingency table of order (5x5) is:
a. 25
b. 16
c. 10
d. Infinity
108.The magnitude of the difference between observed frequencies and expected
frequencies is called .......................
a. F value
b. Z value
c. t value
d. Chi-square value
109.When the expected frequencies and observed frequencies completely coincide, the
chi-square value will be ..............................
a. + 1
b. 1
c. 0
d. None of these
110.If the discrepancy between observed and expected frequencies are greater,
......................... will be the chi-square value.
a. Greater
b. Smaller
c. Zero
d. None of these
111.Calculated value of chi-square is always........................
a. Positive
b. Negative
c. Zero
d. None of these
112.While applying chi-square test, the frequency in any cell should not be ......................
a. More than 5
b. Less than 5
c. More than 10
d. Less than 10
113.Analysis of variance utilises..................
a. F test
b. Chi square test
c. Z test
d. t test
114.In one way ANOVA, the variances are:
a. Within samples
b. Between samples
c. Total
d. All
115.The technique of analysis of variance was developed by .............................
a. Frank Wilcoxon
b. Karl Pearson
c. R A Fisher
d. Kolmogrov
116.Non-parametric test is :
a. Distribution free test
b. Not concerned with parameter
c. Does not depend on the particular form of the distribution
d. None of these
117..........................tests follow assumptions about population parameters.
a. Parametric
b. Non-parametric
c. One-tailed
d. Two-tailed
118.........................is the simplest and most widely used non-parametric test
a. Sign test
b. K-S test
c. Chi-square tst
d. Wilcoxon matched paired test
119.Runs test was designed by .............................
a. Kruskal and Wallis
b. Kolmogrov and Smirnov
c. Wald wolfowitz
d. Karl Pearson
120.Which one of the following is a non-parametric test?
a. F test
b. Z test
c. t test
d. Wilcoxon test
121.Control charts are also termed as...............................
a. Shewart charts
b. Process behaviour chart
c. Both a and b
d. None of these
122.What type of chart will be used to plot the number of defective in the output of any
process?
a. x ? chart
b. R chart
c. C chart
d. P chart
123.Process control is carried out:
a. Before production
b. During production
c. After production
d. All of the above
124.The dividing lines between random and non-random deviations from mean of the
distribution are known as ..........................
a. Upper Control Limit
b. Lower Control Limit
c. Control Limits
d. Two sigma limit
125.The control charts used to monitor variable is...........................
a. Range chart
b. P-chart
c. C-chart
d. All of the above
126.The control charts used to monitor attributes is............................
a. Range chart
b. P-chart
c. C-chart
d. All of the above
127.The control charts used for the fraction of defective items in a sample
is............................
a. Range chart
b. P-chart
c. C-chart
d. Mean chart
128.The control charts used for the number of defects per unit is:
a. Range chart
b. P-chart
c. C-chart
d. Mean chart
129.........................is user for testing goodness of fit.
a. Wilcoxon test
b. Sign test
c. K-S Test
d. Chi-square test
130.Which of the following is a non-parametric test?
a. F-test
b. Z-test
c. Wilcoxon test
d. All of the above
131.Regression coefficient is independent of...........................
a. Origin
b. Scale
c. Both a and b
d. Neither origin nor scale
132.The geometric mean of the two regression coefficient, bxy and byx is equal to:
a. r
b. r
2
c. 1
d. None of the above
133.In a correlation analysis, if r= 0, then we may say that there is .................. between
variables.
a. No correlation
b. Linear correlation
c. Perfect correlation
d. none of these
134.If r is the correlation coefficient between two variables, then:
a. 0 < r < 1
b. 1 d r d 1
c. r e 0
d. r d 0
**********
FirstRanker.com - FirstRanker's Choice
MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
c. 1 and +1
d. 3 and +3
15. A high degree of +ve correlation between availability of rainfall and weight of weight
of people is:
a. A meaningless correlation
b. A spurious correlation
c. A nonsense correlation
d. All of the above
16. If the ratio of change in one variable is equal to the ratio of change in the other
variable, then the correlation is said to be .....................
a. Linear
b. Non-linear
c. Curvilinear
d. None of these
17. Pearsonian correlation coefficient if denoted by the symbol ...............
a. K
b. r
c. R
d. None of these
18. If r= +1, the correlation is said to be ...................
a. High degree of +ve correlation
b. High degree of ve correlation
c. Perfect +ve correlation
d. Perfect ve correlation
19. If the dots in a scatter diagram fall on a narrow band, it indicates a .......................
degree of correlation.
a. Zero
b. High
c. Low
d. None of these
20. If all the points of a dot chart lie on a straight line vertical to the X-axis, then
coefficient of correlation is ...................
a. 0
b. +1
c. 1
d. None of these
21. If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes
.................................of correlation.
a. High degree
b. Low degree
c. Moderate degree
d. Absence
22. If dots are lying on a scatter diagram in a haphazard manner, then r = ......................
a. 0
b. +1
c. 1
d. None of these
23. The unit of Coefficient of correlation is ........................
a. Percentage
b. Ratio
c. Same unit of the data
d. No unit
24. Product moment correlation method is also called ........................
a. Rank correlation
b. Pearsonian correlation
c. Concurrent deviation
d. None of these
25. The ve sign of correlation coefficient between X and Y indicates.............................
a. X decreasing, Y increasing
b. X increasing, Y decreasing
c. Any of the above
d. There is no change in X and Y
26. Coefficient of correlation explains .........................of the relationship between two
variables.
a. Degree
b. Direction
c. Both of the above
d. None of the above
27. For perfect correlation, the coefficient of correlation should be ..........................
a. ? 1
b. + 1
c. 1
d. 0
28. Rank correlation coefficient was discovered by....................................
a. Fisher
b. Spearman
c. Karl Pearson
d. Bowley
29. The rank correlation coefficient is always............................
a. + 1
b. 1
c. 0
d. Between + 1 and 1
30. Spearmans Rank Correlation Coefficient is usually denoted by....................
a. k
b. r
c. S
d. R
31. Probable error is used to:
a. Test the reliability of correlation coefficient
b. Measure the error in correlation coefficient
c. Both a an b
d. None of these
32. If coefficient of correlation is more than ................of its P E, correlation is significant.
a. 2 times
b. 5 times
c. 6 times
d. 10 times
33. In correlation analysis, Probable Error = ........................ x 0.6745
a. Standard deviation
b. Standard error
c. Coefficient of correlation
d. None of these
34. Coefficient of concurrent deviation depends on .......................
a. The signs of the deviations
b. The magnitude of the deviations
c. Bothe a and b
d. None of these
35. Correlation analysis between two sets of data only is called....................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
36. Correlation analysis between one dependent variable with one independent variable
by keeping the other independent variables as constant is called......................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
37. Study of correlation among three or more variables simultaneously is called.............
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
38. If r = 0.8, coefficient of determination is.....................................
a. 80%
b. 8%
c. 64%
d. 0.8%
39. If r is the simple correlation coefficient, the quantity r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
40. If r is the simple correlation coefficient, the quantity 1 -- r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
41. The term regression was first used by..........................
a. Karl Pearson
b. Spearman
c. R A Fisher
d. Francis Galton
42. ....................refers to analysis of average relationship between two variables to
provide mechanism for prediction.
a. Correlation
b. Regression
c. Standard error
d. None of these
43. If there are two variables, there can be at most............................... number of
regression lines.
a. One
b. Two
c. Three
d. Infinite
44. If the regression line is Y on X, then the variable X is known as..........................
a. Independent variable
b. Explanatory variable
c. Regressor
d. All the above
45. Regression line is also called.................................
a. Estimating equation
b. Prediction equation
c. Line of average relationship
d. All the above
46. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Explained variable
c. Both a and b
d. Regressor
47. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Bothe a and b
d. None of the above
48. If the regression line is Y on X, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Both a and b
d. None of the above
49. The point of intersection of two regression lines is..........................
a.(0,0) b.(1,1) c.(x,y) d.(x ? , ?) 50. If r = ? 1, the two regression lines are...............................
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
51. If r = 1, the angle between the two regression lines is.........................
a. Ninety degree
b. Thirty degree
c. Zero degree
d. Sixty degree
52. If r = 0, the two regression lines are:
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
53. If b xy and b yx are two regression coefficients, they have:
a. Same signs
b. Opposite signs
c. Either a or b
d. None of the above.
54. If b yx > 1, then b xy is:
a. Greater than one
b. Less than one
c. Equal to one
d. Equal to zero
55. If X and Y are independent, the value of b yx is equal to ........................
a. Zero
b. One
c. Infinity
d. Any positive value
56. The property that both the regression coefficients and correlation coefficient have
same signs is called................................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
57. The property that b yx > 1 implies that b xy < 1 is known as .....................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
58. If X and Y are independent, the property b yx = b xy = 0 is called ...................
a. Fundamental property
b. Magnitude property
c. Mean property
d. Independence property
59. The Correlation coefficient between two variables is the ........................... of their
regression coefficients.
a. Arithmetic mean
b. Geometric mean
c. Harmonic mean
d. None of these
60. If the correlation coefficient between two variables, X and Y, is negative, then the
regression coefficient of Y on X is.............................
a. Positive
b. Negative
c. Not certain
d. None of these
61. The G M of two regression coefficients b yx and b xy is equal to ..........................
a. r
b. r
2
c. 1 r
2
d. None of these
62. If one regression coefficient is negative, the other is ...............................
a. 0
b. ve
c. +ve
d. Either a or b
63. Arithmetic mean of the two regression coefficients is:
a. Equal to correlation coefficient
b. Greater than correlation coefficient
c. Less than correlation coefficient
d. Equal to or greater than correlation coefficient
64. b yx is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
65. b xy is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
66. In ..................... regression analysis, only one independent variable is used to explain
the dependent variable.
a. Multiple
b. Non-linear
c. Linear
d. None of these
67. The regression coefficient and correlation coefficient of the two variables will be the
same if their .............................are same.
a. Arithmetic mean
b. Standard deviation
c. Geometric mean
d. Mean deviation
68. The idea of testing of hypothesis was first set forth by ..........................
a. R A Fisher
b. J Neyman
c. E L Lehman
d. A Wald
69. By testing of hypothesis, we mean:
a. A significant procedure in Statistics
b. A method of making a significant statement
c. A rule for accepting or rejecting hypothesis
d. A significant estimation of a problem.
70. Testing of hypothesis and ......................are the two branches of statistical inference.
a. Statistical analysis
b. Probability
c. Correlation analysis
d. Estimation
71. ......................... is the original hypothesis
a. Null hypothesis
b. Alternative hypothesis
c. Either a or b
d. None of these
72. A null hypothesis is denoted by...........................
a. H 0
b. H 1
c. NH
d. None of these
73. An alternative hypothesis is denoted by...........................
a. H 0
b. H 1
c. AH
d. None of these
74. Whether a test is one sided or two sided, depends on........................
a. Simple hypothesis
b. Composite hypothesis
c. Null hypothesis
d. Alternative hypothesis
75. A wrong decision about null hypothesis leads to:
a. One kind of error
b. Two kinds of errors
c. Three kinds of errors
d. Four kinds of errors
76. Power of a test is related to ........................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
77. Level of significance is the probability of................................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
78. Which type of error is more severe error:
a. Type I error
b. Type II error
c. Both a and b
d. None of these
79. Type II error means..............................
a. Accepting a true hypothesis
b. Rejecting a true hypothesis
c. Accepting a wrong hypothesis
d. Rejecting a wrong hypothesis
80. Type I error is denoted by...........................
a. Alpha
b. Beta
c. Gamma
d. None of these
81. Type II error is denoted by....................................
a. Alpha
b. Beta
c. Gamma
d. None of these
82. The level of probability of accepting a true null hypothesis is called........................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. D,
83. The probability of rejecting a true null hypothesis is called.......................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. None of these
84. 1 Level of confidence =.............................
a. Level of significance
b. Degree of freedom
c. Either a or b
d. None of these
85. While testing a hypothesis, if level of significance is not mentioned, we take
................... level of significance.
a. 1%
b. 2%
c. 5%
d. 10%
86. A sample is treated as large sample, when its size is.............................
a. More than 100
b. More than 75
c. More than 50
d. More than 30
87. ...............refers to the number of independent observations which is obtained by
subtracting the number of constraints from the total number of observations.
a. Sample size
b. Degree of freedom
c. Level of significance
d. Level of confidence
88. Total number of observations number of constraints =......................
a. Level of significance
b. Degree of freedom
c. Level of confidence
d. Sample size
89. Accepting a null hypothesis when it is false is called................................
a. Type I error
b. Type II error
c. Probable error
d. Standard error
90. Accepting a null hypothesis when it is true is called................................
a. Type I error
b. Type II error
c. Probable error
d. No error
91. When sample is small,....................... test is applied.
a. t-test
b. Z test
c. F test
d. None of these
92. To test a hypothesis about proportions of items in a class, the usual test is..............
a. t-test
b. Z- test
c. F test
d. Sign test
93. Students t -test is applicable when:
a. The values of the variate are independent
b. The variable is distributed normally
c. The sample is small
d. All the above
94. Testing of hypotheses H o : ?= 45 vs. H 1 : ?> 45 when the population standard
deviation is known, the appropriate test is:
a. t-test
b. Z test
c. Chi-square test
d. F test
95. Testing of hypotheses H o : ? = 85 vs. H 1 : ? > 85, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
96. Testing of hypotheses H o : ? = 65 vs. H 1 : ? < 65, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
97. Testing of hypotheses H o : ? = 65 vs. H 1 : ? ` 65, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
98. Students t -test was designed by ............................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
99. Z test was designed by ........................................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
100. Z test was designed by .......................................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
101.The range of F ratio is ........................................
a. 1 to + 1
b. to
c. 0 to
d. 0 to 1
102. While computing F ratio, customarily, the larger variance is taken as .....................
a. Denominator
b. Numerator
c. Either way
d. None of these
103. Chi-square test was first used by ...............................
a. R A Fisher
b. William Gosset
c. James Bernoulli
d. Karl Pearson
104. The Chi-squre quantity ranges from ........................ to ...........................
a. 1 to + 1
b. to
c. 0 to
d. 0 to 1
105.Degrees of freedom for Chi-squre test in case of contingency table of order (2x2) is:
a. 4
b. 3
c. 2
d. 1
106.Degrees of freedom for Chi-squre test in case of contingency table of order (4x3) is:
a. 4
b. 3
c. 6
d. 7
107.Degrees of freedom for Chi-squre test in case of contingency table of order (5x5) is:
a. 25
b. 16
c. 10
d. Infinity
108.The magnitude of the difference between observed frequencies and expected
frequencies is called .......................
a. F value
b. Z value
c. t value
d. Chi-square value
109.When the expected frequencies and observed frequencies completely coincide, the
chi-square value will be ..............................
a. + 1
b. 1
c. 0
d. None of these
110.If the discrepancy between observed and expected frequencies are greater,
......................... will be the chi-square value.
a. Greater
b. Smaller
c. Zero
d. None of these
111.Calculated value of chi-square is always........................
a. Positive
b. Negative
c. Zero
d. None of these
112.While applying chi-square test, the frequency in any cell should not be ......................
a. More than 5
b. Less than 5
c. More than 10
d. Less than 10
113.Analysis of variance utilises..................
a. F test
b. Chi square test
c. Z test
d. t test
114.In one way ANOVA, the variances are:
a. Within samples
b. Between samples
c. Total
d. All
115.The technique of analysis of variance was developed by .............................
a. Frank Wilcoxon
b. Karl Pearson
c. R A Fisher
d. Kolmogrov
116.Non-parametric test is :
a. Distribution free test
b. Not concerned with parameter
c. Does not depend on the particular form of the distribution
d. None of these
117..........................tests follow assumptions about population parameters.
a. Parametric
b. Non-parametric
c. One-tailed
d. Two-tailed
118.........................is the simplest and most widely used non-parametric test
a. Sign test
b. K-S test
c. Chi-square tst
d. Wilcoxon matched paired test
119.Runs test was designed by .............................
a. Kruskal and Wallis
b. Kolmogrov and Smirnov
c. Wald wolfowitz
d. Karl Pearson
120.Which one of the following is a non-parametric test?
a. F test
b. Z test
c. t test
d. Wilcoxon test
121.Control charts are also termed as...............................
a. Shewart charts
b. Process behaviour chart
c. Both a and b
d. None of these
122.What type of chart will be used to plot the number of defective in the output of any
process?
a. x ? chart
b. R chart
c. C chart
d. P chart
123.Process control is carried out:
a. Before production
b. During production
c. After production
d. All of the above
124.The dividing lines between random and non-random deviations from mean of the
distribution are known as ..........................
a. Upper Control Limit
b. Lower Control Limit
c. Control Limits
d. Two sigma limit
125.The control charts used to monitor variable is...........................
a. Range chart
b. P-chart
c. C-chart
d. All of the above
126.The control charts used to monitor attributes is............................
a. Range chart
b. P-chart
c. C-chart
d. All of the above
127.The control charts used for the fraction of defective items in a sample
is............................
a. Range chart
b. P-chart
c. C-chart
d. Mean chart
128.The control charts used for the number of defects per unit is:
a. Range chart
b. P-chart
c. C-chart
d. Mean chart
129.........................is user for testing goodness of fit.
a. Wilcoxon test
b. Sign test
c. K-S Test
d. Chi-square test
130.Which of the following is a non-parametric test?
a. F-test
b. Z-test
c. Wilcoxon test
d. All of the above
131.Regression coefficient is independent of...........................
a. Origin
b. Scale
c. Both a and b
d. Neither origin nor scale
132.The geometric mean of the two regression coefficient, bxy and byx is equal to:
a. r
b. r
2
c. 1
d. None of the above
133.In a correlation analysis, if r= 0, then we may say that there is .................. between
variables.
a. No correlation
b. Linear correlation
c. Perfect correlation
d. none of these
134.If r is the correlation coefficient between two variables, then:
a. 0 < r < 1
b. 1 d r d 1
c. r e 0
d. r d 0
**********
ANSWERS
1 : c 21 : d 41 : d 61 : a 81 : b 101 : c
121 : c
2 : d 22 : a 42 : b 62 : b 82 : c 102 : b
122 : d
3 : a 23 : d 43 : b 63 : b 83 : b 103 : d
123 : b
4 : c 24 : b 44 : d 64 : a 84 : a 104 : c
124 : c
5 : d 25 : c 45 : d 65 : b 85 : c 105 : d
125 : a
6 : a 26 : c 46 : c 66 : c 86 : d 106 : c
126 : b
7 : b 27 : a 47 : a 67 : b 87 : b 107 : b
127 : b
8 : b 28 : b 48 : b 68 : b 88 : b 108 : d
128 : c
9 : a 29 : d 49 : d 69 : c 89 : b 109 : c
129 : d
10 : c 30 : d 50 : a 70 : d 90 : d 110 : a
130 : c
11 : d 31 : a 51 : c 71 : a 91 : a 111 : a
131 : a
12 : a 32 : c 52 : c 72 : a 92 : b 112 : b
132 : a
13 : b 33 : b 53 : a 73 : b 93 : d 113 : a
133 : a
14 : c 34 : a 54 : b 74 : d 94 : b 114 : d
134 : b
15 : d 35 : d 55 : a 75 : b 95 : b 115 : c
16 : a 36 : a 56 : c 76 : b 96 : a 116 : d
17 : c 37 : b 57 : b 77 : a 97 : c 117 : a
18 : c 38 : c 58 : d 78 : b 98 : d 118 : c
19 : b 39 : a 59 : b 79 : c 99 : a 119 : c
20 : a 40 : b 60 : b 80 : a 100 : a 120 : a
Prepared by
VINEETHAN T
Assistant Professor
Govt. College Madappally
FirstRanker.com - FirstRanker's Choice
MULTIPLE CHOICE QUESTIONS ON QUANTITATIVE TECHNIQUES
1. The techniques which provide the decision maker a systematic and powerful means of
analysis to explore policies for achieving predetermined goals are called..........................
a. Correlation techniques
b. Mathematical techniques
c. Quantitative techniques
d. None of the above
2. Correlation analysis is a ..............................
a. Univariate analysis
b. Bivariate analysis
c. Multivariate analysis
d. Both b and c
3. If change in one variable results a corresponding change in the other variable, then
the variables are.........................
a. Correlated
b. Not correlated
c. Any of the above
d. None of the above
4. When the values of two variables move in the same direction, correlation is said to
be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
5. When the values of two variables move in the opposite directions, correlation is said
to be ............................
a. Linear
b. Non-linear
c. Positive
d. Negative
6. When the amount of change in one variable leads to a constant ratio of change in
the other variable, then correlation is said to be .........................
a. Linear
b. Non-linear
c. Positive
d. Negative
7. ...........................attempts to determine the degree of relationship between
variables.
a. Regression analysis
b. Correlation analysis
c. Inferential analysis
d. None of these
8. Non-linear correlation is also called.....................................
a. Non-curvy linear correlation
b. Curvy linear correlation
c. Zero correlation
d. None of these
9. Scatter diagram is also called ......................
a. Dot chart
b. Correlation graph
c. Both a and b
d. None of these
10. If all the points of a scatter diagram lie on a straight line falling from left upper
corner to the right bottom corner, the correlation is called...................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
11. If all the dots of a scatter diagram lie on a straight line falling from left bottom corner
to the right upper corner, the correlation is called..................
a. Zero correlation
b. High degree of positive correlation
c. Perfect negative correlation
d. Perfect positive correlation
12. Numerical measure of correlation is called .....................
a. Coefficient of correlation
b. Coefficient of determination
c. Coefficient of non-determination
d. Coefficient of regression
13. Coefficient of correlation explains:
a. Concentration
b. Relation
c. Dispersion
d. Asymmetry
14. Coefficient of correlation lies between:
a. 0 and +1
b. 0 and 1
c. 1 and +1
d. 3 and +3
15. A high degree of +ve correlation between availability of rainfall and weight of weight
of people is:
a. A meaningless correlation
b. A spurious correlation
c. A nonsense correlation
d. All of the above
16. If the ratio of change in one variable is equal to the ratio of change in the other
variable, then the correlation is said to be .....................
a. Linear
b. Non-linear
c. Curvilinear
d. None of these
17. Pearsonian correlation coefficient if denoted by the symbol ...............
a. K
b. r
c. R
d. None of these
18. If r= +1, the correlation is said to be ...................
a. High degree of +ve correlation
b. High degree of ve correlation
c. Perfect +ve correlation
d. Perfect ve correlation
19. If the dots in a scatter diagram fall on a narrow band, it indicates a .......................
degree of correlation.
a. Zero
b. High
c. Low
d. None of these
20. If all the points of a dot chart lie on a straight line vertical to the X-axis, then
coefficient of correlation is ...................
a. 0
b. +1
c. 1
d. None of these
21. If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes
.................................of correlation.
a. High degree
b. Low degree
c. Moderate degree
d. Absence
22. If dots are lying on a scatter diagram in a haphazard manner, then r = ......................
a. 0
b. +1
c. 1
d. None of these
23. The unit of Coefficient of correlation is ........................
a. Percentage
b. Ratio
c. Same unit of the data
d. No unit
24. Product moment correlation method is also called ........................
a. Rank correlation
b. Pearsonian correlation
c. Concurrent deviation
d. None of these
25. The ve sign of correlation coefficient between X and Y indicates.............................
a. X decreasing, Y increasing
b. X increasing, Y decreasing
c. Any of the above
d. There is no change in X and Y
26. Coefficient of correlation explains .........................of the relationship between two
variables.
a. Degree
b. Direction
c. Both of the above
d. None of the above
27. For perfect correlation, the coefficient of correlation should be ..........................
a. ? 1
b. + 1
c. 1
d. 0
28. Rank correlation coefficient was discovered by....................................
a. Fisher
b. Spearman
c. Karl Pearson
d. Bowley
29. The rank correlation coefficient is always............................
a. + 1
b. 1
c. 0
d. Between + 1 and 1
30. Spearmans Rank Correlation Coefficient is usually denoted by....................
a. k
b. r
c. S
d. R
31. Probable error is used to:
a. Test the reliability of correlation coefficient
b. Measure the error in correlation coefficient
c. Both a an b
d. None of these
32. If coefficient of correlation is more than ................of its P E, correlation is significant.
a. 2 times
b. 5 times
c. 6 times
d. 10 times
33. In correlation analysis, Probable Error = ........................ x 0.6745
a. Standard deviation
b. Standard error
c. Coefficient of correlation
d. None of these
34. Coefficient of concurrent deviation depends on .......................
a. The signs of the deviations
b. The magnitude of the deviations
c. Bothe a and b
d. None of these
35. Correlation analysis between two sets of data only is called....................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
36. Correlation analysis between one dependent variable with one independent variable
by keeping the other independent variables as constant is called......................
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
37. Study of correlation among three or more variables simultaneously is called.............
a. Partial correlation
b. Multiple correlation
c. Nonsense correlation
d. Simple correlation
38. If r = 0.8, coefficient of determination is.....................................
a. 80%
b. 8%
c. 64%
d. 0.8%
39. If r is the simple correlation coefficient, the quantity r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
40. If r is the simple correlation coefficient, the quantity 1 -- r
2
is known as ...................
a. Coefficient of determination
b. Coefficient of non-determination
c. Coefficient of alienation
d. None of these
41. The term regression was first used by..........................
a. Karl Pearson
b. Spearman
c. R A Fisher
d. Francis Galton
42. ....................refers to analysis of average relationship between two variables to
provide mechanism for prediction.
a. Correlation
b. Regression
c. Standard error
d. None of these
43. If there are two variables, there can be at most............................... number of
regression lines.
a. One
b. Two
c. Three
d. Infinite
44. If the regression line is Y on X, then the variable X is known as..........................
a. Independent variable
b. Explanatory variable
c. Regressor
d. All the above
45. Regression line is also called.................................
a. Estimating equation
b. Prediction equation
c. Line of average relationship
d. All the above
46. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Explained variable
c. Both a and b
d. Regressor
47. If the regression line is X on Y, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Bothe a and b
d. None of the above
48. If the regression line is Y on X, then the variable X is known as..........................
a. Dependent variable
b. Independent variable
c. Both a and b
d. None of the above
49. The point of intersection of two regression lines is..........................
a.(0,0) b.(1,1) c.(x,y) d.(x ? , ?) 50. If r = ? 1, the two regression lines are...............................
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
51. If r = 1, the angle between the two regression lines is.........................
a. Ninety degree
b. Thirty degree
c. Zero degree
d. Sixty degree
52. If r = 0, the two regression lines are:
a. Coincident
b. Parallel
c. Perpendicular to each other
d. None of these
53. If b xy and b yx are two regression coefficients, they have:
a. Same signs
b. Opposite signs
c. Either a or b
d. None of the above.
54. If b yx > 1, then b xy is:
a. Greater than one
b. Less than one
c. Equal to one
d. Equal to zero
55. If X and Y are independent, the value of b yx is equal to ........................
a. Zero
b. One
c. Infinity
d. Any positive value
56. The property that both the regression coefficients and correlation coefficient have
same signs is called................................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
57. The property that b yx > 1 implies that b xy < 1 is known as .....................
a. Fundamental property
b. Magnitude property
c. Signature property
d. None of these
58. If X and Y are independent, the property b yx = b xy = 0 is called ...................
a. Fundamental property
b. Magnitude property
c. Mean property
d. Independence property
59. The Correlation coefficient between two variables is the ........................... of their
regression coefficients.
a. Arithmetic mean
b. Geometric mean
c. Harmonic mean
d. None of these
60. If the correlation coefficient between two variables, X and Y, is negative, then the
regression coefficient of Y on X is.............................
a. Positive
b. Negative
c. Not certain
d. None of these
61. The G M of two regression coefficients b yx and b xy is equal to ..........................
a. r
b. r
2
c. 1 r
2
d. None of these
62. If one regression coefficient is negative, the other is ...............................
a. 0
b. ve
c. +ve
d. Either a or b
63. Arithmetic mean of the two regression coefficients is:
a. Equal to correlation coefficient
b. Greater than correlation coefficient
c. Less than correlation coefficient
d. Equal to or greater than correlation coefficient
64. b yx is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
65. b xy is the regression coefficient of the regression equation.....................
a. Y on X
b. X on Y
c. Either a or b
d. None of these
66. In ..................... regression analysis, only one independent variable is used to explain
the dependent variable.
a. Multiple
b. Non-linear
c. Linear
d. None of these
67. The regression coefficient and correlation coefficient of the two variables will be the
same if their .............................are same.
a. Arithmetic mean
b. Standard deviation
c. Geometric mean
d. Mean deviation
68. The idea of testing of hypothesis was first set forth by ..........................
a. R A Fisher
b. J Neyman
c. E L Lehman
d. A Wald
69. By testing of hypothesis, we mean:
a. A significant procedure in Statistics
b. A method of making a significant statement
c. A rule for accepting or rejecting hypothesis
d. A significant estimation of a problem.
70. Testing of hypothesis and ......................are the two branches of statistical inference.
a. Statistical analysis
b. Probability
c. Correlation analysis
d. Estimation
71. ......................... is the original hypothesis
a. Null hypothesis
b. Alternative hypothesis
c. Either a or b
d. None of these
72. A null hypothesis is denoted by...........................
a. H 0
b. H 1
c. NH
d. None of these
73. An alternative hypothesis is denoted by...........................
a. H 0
b. H 1
c. AH
d. None of these
74. Whether a test is one sided or two sided, depends on........................
a. Simple hypothesis
b. Composite hypothesis
c. Null hypothesis
d. Alternative hypothesis
75. A wrong decision about null hypothesis leads to:
a. One kind of error
b. Two kinds of errors
c. Three kinds of errors
d. Four kinds of errors
76. Power of a test is related to ........................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
77. Level of significance is the probability of................................
a. Type I error
b. Type II error
c. Both a and b
d. None of these
78. Which type of error is more severe error:
a. Type I error
b. Type II error
c. Both a and b
d. None of these
79. Type II error means..............................
a. Accepting a true hypothesis
b. Rejecting a true hypothesis
c. Accepting a wrong hypothesis
d. Rejecting a wrong hypothesis
80. Type I error is denoted by...........................
a. Alpha
b. Beta
c. Gamma
d. None of these
81. Type II error is denoted by....................................
a. Alpha
b. Beta
c. Gamma
d. None of these
82. The level of probability of accepting a true null hypothesis is called........................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. D,
83. The probability of rejecting a true null hypothesis is called.......................
a. Degree of freedom
b. Level of significance
c. Level of confidence
d. None of these
84. 1 Level of confidence =.............................
a. Level of significance
b. Degree of freedom
c. Either a or b
d. None of these
85. While testing a hypothesis, if level of significance is not mentioned, we take
................... level of significance.
a. 1%
b. 2%
c. 5%
d. 10%
86. A sample is treated as large sample, when its size is.............................
a. More than 100
b. More than 75
c. More than 50
d. More than 30
87. ...............refers to the number of independent observations which is obtained by
subtracting the number of constraints from the total number of observations.
a. Sample size
b. Degree of freedom
c. Level of significance
d. Level of confidence
88. Total number of observations number of constraints =......................
a. Level of significance
b. Degree of freedom
c. Level of confidence
d. Sample size
89. Accepting a null hypothesis when it is false is called................................
a. Type I error
b. Type II error
c. Probable error
d. Standard error
90. Accepting a null hypothesis when it is true is called................................
a. Type I error
b. Type II error
c. Probable error
d. No error
91. When sample is small,....................... test is applied.
a. t-test
b. Z test
c. F test
d. None of these
92. To test a hypothesis about proportions of items in a class, the usual test is..............
a. t-test
b. Z- test
c. F test
d. Sign test
93. Students t -test is applicable when:
a. The values of the variate are independent
b. The variable is distributed normally
c. The sample is small
d. All the above
94. Testing of hypotheses H o : ?= 45 vs. H 1 : ?> 45 when the population standard
deviation is known, the appropriate test is:
a. t-test
b. Z test
c. Chi-square test
d. F test
95. Testing of hypotheses H o : ? = 85 vs. H 1 : ? > 85, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
96. Testing of hypotheses H o : ? = 65 vs. H 1 : ? < 65, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
97. Testing of hypotheses H o : ? = 65 vs. H 1 : ? ` 65, is a ...................test.
a. One sided left tailed test
b. One sided right tailed test
c. Two tailed test
d. None of these
98. Students t -test was designed by ............................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
99. Z test was designed by ........................................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
100. Z test was designed by .......................................
a. R A Fisher
b. Wilcoxon
c. Wald wolfowitz
d. W S Gosset
101.The range of F ratio is ........................................
a. 1 to + 1
b. to
c. 0 to
d. 0 to 1
102. While computing F ratio, customarily, the larger variance is taken as .....................
a. Denominator
b. Numerator
c. Either way
d. None of these
103. Chi-square test was first used by ...............................
a. R A Fisher
b. William Gosset
c. James Bernoulli
d. Karl Pearson
104. The Chi-squre quantity ranges from ........................ to ...........................
a. 1 to + 1
b. to
c. 0 to
d. 0 to 1
105.Degrees of freedom for Chi-squre test in case of contingency table of order (2x2) is:
a. 4
b. 3
c. 2
d. 1
106.Degrees of freedom for Chi-squre test in case of contingency table of order (4x3) is:
a. 4
b. 3
c. 6
d. 7
107.Degrees of freedom for Chi-squre test in case of contingency table of order (5x5) is:
a. 25
b. 16
c. 10
d. Infinity
108.The magnitude of the difference between observed frequencies and expected
frequencies is called .......................
a. F value
b. Z value
c. t value
d. Chi-square value
109.When the expected frequencies and observed frequencies completely coincide, the
chi-square value will be ..............................
a. + 1
b. 1
c. 0
d. None of these
110.If the discrepancy between observed and expected frequencies are greater,
......................... will be the chi-square value.
a. Greater
b. Smaller
c. Zero
d. None of these
111.Calculated value of chi-square is always........................
a. Positive
b. Negative
c. Zero
d. None of these
112.While applying chi-square test, the frequency in any cell should not be ......................
a. More than 5
b. Less than 5
c. More than 10
d. Less than 10
113.Analysis of variance utilises..................
a. F test
b. Chi square test
c. Z test
d. t test
114.In one way ANOVA, the variances are:
a. Within samples
b. Between samples
c. Total
d. All
115.The technique of analysis of variance was developed by .............................
a. Frank Wilcoxon
b. Karl Pearson
c. R A Fisher
d. Kolmogrov
116.Non-parametric test is :
a. Distribution free test
b. Not concerned with parameter
c. Does not depend on the particular form of the distribution
d. None of these
117..........................tests follow assumptions about population parameters.
a. Parametric
b. Non-parametric
c. One-tailed
d. Two-tailed
118.........................is the simplest and most widely used non-parametric test
a. Sign test
b. K-S test
c. Chi-square tst
d. Wilcoxon matched paired test
119.Runs test was designed by .............................
a. Kruskal and Wallis
b. Kolmogrov and Smirnov
c. Wald wolfowitz
d. Karl Pearson
120.Which one of the following is a non-parametric test?
a. F test
b. Z test
c. t test
d. Wilcoxon test
121.Control charts are also termed as...............................
a. Shewart charts
b. Process behaviour chart
c. Both a and b
d. None of these
122.What type of chart will be used to plot the number of defective in the output of any
process?
a. x ? chart
b. R chart
c. C chart
d. P chart
123.Process control is carried out:
a. Before production
b. During production
c. After production
d. All of the above
124.The dividing lines between random and non-random deviations from mean of the
distribution are known as ..........................
a. Upper Control Limit
b. Lower Control Limit
c. Control Limits
d. Two sigma limit
125.The control charts used to monitor variable is...........................
a. Range chart
b. P-chart
c. C-chart
d. All of the above
126.The control charts used to monitor attributes is............................
a. Range chart
b. P-chart
c. C-chart
d. All of the above
127.The control charts used for the fraction of defective items in a sample
is............................
a. Range chart
b. P-chart
c. C-chart
d. Mean chart
128.The control charts used for the number of defects per unit is:
a. Range chart
b. P-chart
c. C-chart
d. Mean chart
129.........................is user for testing goodness of fit.
a. Wilcoxon test
b. Sign test
c. K-S Test
d. Chi-square test
130.Which of the following is a non-parametric test?
a. F-test
b. Z-test
c. Wilcoxon test
d. All of the above
131.Regression coefficient is independent of...........................
a. Origin
b. Scale
c. Both a and b
d. Neither origin nor scale
132.The geometric mean of the two regression coefficient, bxy and byx is equal to:
a. r
b. r
2
c. 1
d. None of the above
133.In a correlation analysis, if r= 0, then we may say that there is .................. between
variables.
a. No correlation
b. Linear correlation
c. Perfect correlation
d. none of these
134.If r is the correlation coefficient between two variables, then:
a. 0 < r < 1
b. 1 d r d 1
c. r e 0
d. r d 0
**********
ANSWERS
1 : c 21 : d 41 : d 61 : a 81 : b 101 : c
121 : c
2 : d 22 : a 42 : b 62 : b 82 : c 102 : b
122 : d
3 : a 23 : d 43 : b 63 : b 83 : b 103 : d
123 : b
4 : c 24 : b 44 : d 64 : a 84 : a 104 : c
124 : c
5 : d 25 : c 45 : d 65 : b 85 : c 105 : d
125 : a
6 : a 26 : c 46 : c 66 : c 86 : d 106 : c
126 : b
7 : b 27 : a 47 : a 67 : b 87 : b 107 : b
127 : b
8 : b 28 : b 48 : b 68 : b 88 : b 108 : d
128 : c
9 : a 29 : d 49 : d 69 : c 89 : b 109 : c
129 : d
10 : c 30 : d 50 : a 70 : d 90 : d 110 : a
130 : c
11 : d 31 : a 51 : c 71 : a 91 : a 111 : a
131 : a
12 : a 32 : c 52 : c 72 : a 92 : b 112 : b
132 : a
13 : b 33 : b 53 : a 73 : b 93 : d 113 : a
133 : a
14 : c 34 : a 54 : b 74 : d 94 : b 114 : d
134 : b
15 : d 35 : d 55 : a 75 : b 95 : b 115 : c
16 : a 36 : a 56 : c 76 : b 96 : a 116 : d
17 : c 37 : b 57 : b 77 : a 97 : c 117 : a
18 : c 38 : c 58 : d 78 : b 98 : d 118 : c
19 : b 39 : a 59 : b 79 : c 99 : a 119 : c
20 : a 40 : b 60 : b 80 : a 100 : a 120 : a
Prepared by
VINEETHAN T
Assistant Professor
Govt. College Madappally
FirstRanker.com - FirstRanker's Choice
This post was last modified on 26 December 2019