Download UOC (University of Calicut) M.Com (Master of Commerce) Quantitative Techniques for Business Decision 1 Question Bank (Important Questions)
QUANTITATIVE TECHNIQUES
FOR BUSINESS
DECISIONS
I . The strength (degree)
of the correlation between a set of independent
variables X and a dependent variable
y
is measured by
A) Coefficient of Correlation
B) Coefficient of Determination
C)
Standard error of estimate
D) All of the above
2. The percent of totalvariation
of the dependent variable Y explained by the
set of independent variables X is measured by
A) coefficient of correlationB)
coefficient of Skewness
C) Coefficient of Determination
D) Standard Enor or Estimate
E) Multicollinearity
3. A coefficient of correlation is computed to be -0.95 means that
A) The relationship
between two variables is weak
B) The relationship
between two variables is strong and positive
c) The relationship
between trvo variables is strong and tut negative
D) Correlation coefficient cannot have this value
4. Let the coefficient of determination
computed to be 0.39 in a problem
involving
one independent
variable and one dependent variabie. This result
means that
A) The relationship
between two variables is negative
B) The correlation
coefficient is 0.39 also
c) 39o/o of the total variation is explained by the independent
variable
D) 39% of the total variation is explained
uy trre dependent variable
5. Relationship
between correlation coefficient and coefficient
of
determination
is that
A) both are unrelated
B) The coefficient
of determination
is the coefficient
of correlation
squared
C) The coefficient
of determination
is the square root of the coefficient
of
correlation
D) both are equal
6. Multicollinearity
exists when
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QUANTITATIVE TECHNIQUES
FOR BUSINESS
DECISIONS
I . The strength (degree)
of the correlation between a set of independent
variables X and a dependent variable
y
is measured by
A) Coefficient of Correlation
B) Coefficient of Determination
C)
Standard error of estimate
D) All of the above
2. The percent of totalvariation
of the dependent variable Y explained by the
set of independent variables X is measured by
A) coefficient of correlationB)
coefficient of Skewness
C) Coefficient of Determination
D) Standard Enor or Estimate
E) Multicollinearity
3. A coefficient of correlation is computed to be -0.95 means that
A) The relationship
between two variables is weak
B) The relationship
between two variables is strong and positive
c) The relationship
between trvo variables is strong and tut negative
D) Correlation coefficient cannot have this value
4. Let the coefficient of determination
computed to be 0.39 in a problem
involving
one independent
variable and one dependent variabie. This result
means that
A) The relationship
between two variables is negative
B) The correlation
coefficient is 0.39 also
c) 39o/o of the total variation is explained by the independent
variable
D) 39% of the total variation is explained
uy trre dependent variable
5. Relationship
between correlation coefficient and coefficient
of
determination
is that
A) both are unrelated
B) The coefficient
of determination
is the coefficient
of correlation
squared
C) The coefficient
of determination
is the square root of the coefficient
of
correlation
D) both are equal
6. Multicollinearity
exists when
A) Independent variables are correlated less than -0.70 or more than 0.70
B) An independent variables is strongly correlated with a dependent variable
C) There is only one independent variable
D) The relationship
between dependent and independent variable is non-linear
7. If "time" is used as the independent variable in a simple linear regression
analysis, then which of the following assumption could be violated
A) There is a linear relationship
between the independent and dependent
variables
B) The residual variation is the same for all fitted values of
y
C) The residuals are normally distributed
D) Successive
observations of the dependent variable are uncorrelated
8. In multiple regression,
when the global test of significance is rejected, we
can conclude that
A) All of the net sample regression
coefficients are equal to zero
B) All of the sample regression
coefficients
are not equal to zero
c) At Ieast one sample regression
coefficient is not equat to zero
D) The regression
equation intersects
the
y-axis
at zero.
9. A residual
is defined as
A) Y-Yn
B) Error sum of square
C) Regression
sum of squares
D) Type I Error
l0.what
test statistic is used for a globar
test of significance?
A) Ztest
B) t test
C) Chi-square
test
D) F test
I l.The correlation
coefficient
is used to determine:
(A)
A specific
value
of the y-variabre
given
a specific
varue
of the x -variabre
(B)
A specific
varue
of the x - variabre
given
a specific
varue
of the y - variabre
(c)
The strength
of the rerationship
between
the x and y variabres
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QUANTITATIVE TECHNIQUES
FOR BUSINESS
DECISIONS
I . The strength (degree)
of the correlation between a set of independent
variables X and a dependent variable
y
is measured by
A) Coefficient of Correlation
B) Coefficient of Determination
C)
Standard error of estimate
D) All of the above
2. The percent of totalvariation
of the dependent variable Y explained by the
set of independent variables X is measured by
A) coefficient of correlationB)
coefficient of Skewness
C) Coefficient of Determination
D) Standard Enor or Estimate
E) Multicollinearity
3. A coefficient of correlation is computed to be -0.95 means that
A) The relationship
between two variables is weak
B) The relationship
between two variables is strong and positive
c) The relationship
between trvo variables is strong and tut negative
D) Correlation coefficient cannot have this value
4. Let the coefficient of determination
computed to be 0.39 in a problem
involving
one independent
variable and one dependent variabie. This result
means that
A) The relationship
between two variables is negative
B) The correlation
coefficient is 0.39 also
c) 39o/o of the total variation is explained by the independent
variable
D) 39% of the total variation is explained
uy trre dependent variable
5. Relationship
between correlation coefficient and coefficient
of
determination
is that
A) both are unrelated
B) The coefficient
of determination
is the coefficient
of correlation
squared
C) The coefficient
of determination
is the square root of the coefficient
of
correlation
D) both are equal
6. Multicollinearity
exists when
A) Independent variables are correlated less than -0.70 or more than 0.70
B) An independent variables is strongly correlated with a dependent variable
C) There is only one independent variable
D) The relationship
between dependent and independent variable is non-linear
7. If "time" is used as the independent variable in a simple linear regression
analysis, then which of the following assumption could be violated
A) There is a linear relationship
between the independent and dependent
variables
B) The residual variation is the same for all fitted values of
y
C) The residuals are normally distributed
D) Successive
observations of the dependent variable are uncorrelated
8. In multiple regression,
when the global test of significance is rejected, we
can conclude that
A) All of the net sample regression
coefficients are equal to zero
B) All of the sample regression
coefficients
are not equal to zero
c) At Ieast one sample regression
coefficient is not equat to zero
D) The regression
equation intersects
the
y-axis
at zero.
9. A residual
is defined as
A) Y-Yn
B) Error sum of square
C) Regression
sum of squares
D) Type I Error
l0.what
test statistic is used for a globar
test of significance?
A) Ztest
B) t test
C) Chi-square
test
D) F test
I l.The correlation
coefficient
is used to determine:
(A)
A specific
value
of the y-variabre
given
a specific
varue
of the x -variabre
(B)
A specific
varue
of the x - variabre
given
a specific
varue
of the y - variabre
(c)
The strength
of the rerationship
between
the x and y variabres
(D)None
of these
12.If there is a very strong correlation between two variables then the
correlation coefficient must be
(A) any value larger than 1
(B) much smaller than 0, if the correlation is negative
(C) much larger than 0, regardless of whether the correlation is negative or
positive
(D) None of these alternatives is correct.
l3.In regression, the equation that describes how the responsevariable (y) is
related to the explanatory variable (x) is:
(A) the correlation model
(B) the regression model
(C) used to compute the conelation coefficient
(D)
None of these alternatives is correct
I4.SSE can never be
(A) larger than sST (B) smalrer than SST (c) equal to I (D) equal to
zero
l5.Relationship
between correlation coefficient and coefficient of
determination is that
A both are unrelated
B The coefficient of determination is the coefficient of correlation squared
a
The coefficient of determination is the square root of the coefficient of
correlatlon
D both are equal
l6.In multiple regression, when the global test of significance is rejected, we
can conclude that
A All of the net sample regression coefficients are equal to zero
B All of the sample regression coefficients are not equal to zero
c At least one sample regression coefficient is not equal to zero
D The regression equation intersects the
y-axis
at zero.
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QUANTITATIVE TECHNIQUES
FOR BUSINESS
DECISIONS
I . The strength (degree)
of the correlation between a set of independent
variables X and a dependent variable
y
is measured by
A) Coefficient of Correlation
B) Coefficient of Determination
C)
Standard error of estimate
D) All of the above
2. The percent of totalvariation
of the dependent variable Y explained by the
set of independent variables X is measured by
A) coefficient of correlationB)
coefficient of Skewness
C) Coefficient of Determination
D) Standard Enor or Estimate
E) Multicollinearity
3. A coefficient of correlation is computed to be -0.95 means that
A) The relationship
between two variables is weak
B) The relationship
between two variables is strong and positive
c) The relationship
between trvo variables is strong and tut negative
D) Correlation coefficient cannot have this value
4. Let the coefficient of determination
computed to be 0.39 in a problem
involving
one independent
variable and one dependent variabie. This result
means that
A) The relationship
between two variables is negative
B) The correlation
coefficient is 0.39 also
c) 39o/o of the total variation is explained by the independent
variable
D) 39% of the total variation is explained
uy trre dependent variable
5. Relationship
between correlation coefficient and coefficient
of
determination
is that
A) both are unrelated
B) The coefficient
of determination
is the coefficient
of correlation
squared
C) The coefficient
of determination
is the square root of the coefficient
of
correlation
D) both are equal
6. Multicollinearity
exists when
A) Independent variables are correlated less than -0.70 or more than 0.70
B) An independent variables is strongly correlated with a dependent variable
C) There is only one independent variable
D) The relationship
between dependent and independent variable is non-linear
7. If "time" is used as the independent variable in a simple linear regression
analysis, then which of the following assumption could be violated
A) There is a linear relationship
between the independent and dependent
variables
B) The residual variation is the same for all fitted values of
y
C) The residuals are normally distributed
D) Successive
observations of the dependent variable are uncorrelated
8. In multiple regression,
when the global test of significance is rejected, we
can conclude that
A) All of the net sample regression
coefficients are equal to zero
B) All of the sample regression
coefficients
are not equal to zero
c) At Ieast one sample regression
coefficient is not equat to zero
D) The regression
equation intersects
the
y-axis
at zero.
9. A residual
is defined as
A) Y-Yn
B) Error sum of square
C) Regression
sum of squares
D) Type I Error
l0.what
test statistic is used for a globar
test of significance?
A) Ztest
B) t test
C) Chi-square
test
D) F test
I l.The correlation
coefficient
is used to determine:
(A)
A specific
value
of the y-variabre
given
a specific
varue
of the x -variabre
(B)
A specific
varue
of the x - variabre
given
a specific
varue
of the y - variabre
(c)
The strength
of the rerationship
between
the x and y variabres
(D)None
of these
12.If there is a very strong correlation between two variables then the
correlation coefficient must be
(A) any value larger than 1
(B) much smaller than 0, if the correlation is negative
(C) much larger than 0, regardless of whether the correlation is negative or
positive
(D) None of these alternatives is correct.
l3.In regression, the equation that describes how the responsevariable (y) is
related to the explanatory variable (x) is:
(A) the correlation model
(B) the regression model
(C) used to compute the conelation coefficient
(D)
None of these alternatives is correct
I4.SSE can never be
(A) larger than sST (B) smalrer than SST (c) equal to I (D) equal to
zero
l5.Relationship
between correlation coefficient and coefficient of
determination is that
A both are unrelated
B The coefficient of determination is the coefficient of correlation squared
a
The coefficient of determination is the square root of the coefficient of
correlatlon
D both are equal
l6.In multiple regression, when the global test of significance is rejected, we
can conclude that
A All of the net sample regression coefficients are equal to zero
B All of the sample regression coefficients are not equal to zero
c At least one sample regression coefficient is not equal to zero
D The regression equation intersects the
y-axis
at zero.
l7.In general, the expected frequencies per cell in the conduct of a Chi-Square
test are those one would
A. expect to find in a given cell if the null hypothesis were actually true
B. expect to find in a given cell if either the null hypothesis or the alternative
hypothesis were actually true
c.expect to find in a given cell if the null hypothesis were actually false
D. expect to find in a given cell if the alternative hypothesis were actually true
l8.The degrees of freedom for the Chi-square test statistic when testing for
independence in a contingency table with 4 rows and 4 columns would be
A. 5 8.9 C.7 D. t2
l9.Which of the following statistical methods is appropriate to test whether or
not there is sufficient evidence of a difference between the proportions
of
two related samples?
A. chi-Square test of independence
B. wilcoxon Rank Sum Test
c. Kruskal-
Wallis rank test D. McNemar Test
20.When using the chi-square test for differences in two proportions with a
contingency table that has r rows and c columns, the degrees of freedom for
the test statistic will be:
A.(r- l)+(c- l).B.nl +n2 -'2.C. n-1. D.(r- l)(c- t).
2l .An advantage of nonparametric
statistics is that
A. you need a computer to calculate them. B. they have many assumptions to
meet.
C. they are easy to calculate.
D. they are very powerful
22.In most situations, parametric
tests
A. have the same power
as nonparametric tests.
B. are less powerful than nonparametric
tests.
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QUANTITATIVE TECHNIQUES
FOR BUSINESS
DECISIONS
I . The strength (degree)
of the correlation between a set of independent
variables X and a dependent variable
y
is measured by
A) Coefficient of Correlation
B) Coefficient of Determination
C)
Standard error of estimate
D) All of the above
2. The percent of totalvariation
of the dependent variable Y explained by the
set of independent variables X is measured by
A) coefficient of correlationB)
coefficient of Skewness
C) Coefficient of Determination
D) Standard Enor or Estimate
E) Multicollinearity
3. A coefficient of correlation is computed to be -0.95 means that
A) The relationship
between two variables is weak
B) The relationship
between two variables is strong and positive
c) The relationship
between trvo variables is strong and tut negative
D) Correlation coefficient cannot have this value
4. Let the coefficient of determination
computed to be 0.39 in a problem
involving
one independent
variable and one dependent variabie. This result
means that
A) The relationship
between two variables is negative
B) The correlation
coefficient is 0.39 also
c) 39o/o of the total variation is explained by the independent
variable
D) 39% of the total variation is explained
uy trre dependent variable
5. Relationship
between correlation coefficient and coefficient
of
determination
is that
A) both are unrelated
B) The coefficient
of determination
is the coefficient
of correlation
squared
C) The coefficient
of determination
is the square root of the coefficient
of
correlation
D) both are equal
6. Multicollinearity
exists when
A) Independent variables are correlated less than -0.70 or more than 0.70
B) An independent variables is strongly correlated with a dependent variable
C) There is only one independent variable
D) The relationship
between dependent and independent variable is non-linear
7. If "time" is used as the independent variable in a simple linear regression
analysis, then which of the following assumption could be violated
A) There is a linear relationship
between the independent and dependent
variables
B) The residual variation is the same for all fitted values of
y
C) The residuals are normally distributed
D) Successive
observations of the dependent variable are uncorrelated
8. In multiple regression,
when the global test of significance is rejected, we
can conclude that
A) All of the net sample regression
coefficients are equal to zero
B) All of the sample regression
coefficients
are not equal to zero
c) At Ieast one sample regression
coefficient is not equat to zero
D) The regression
equation intersects
the
y-axis
at zero.
9. A residual
is defined as
A) Y-Yn
B) Error sum of square
C) Regression
sum of squares
D) Type I Error
l0.what
test statistic is used for a globar
test of significance?
A) Ztest
B) t test
C) Chi-square
test
D) F test
I l.The correlation
coefficient
is used to determine:
(A)
A specific
value
of the y-variabre
given
a specific
varue
of the x -variabre
(B)
A specific
varue
of the x - variabre
given
a specific
varue
of the y - variabre
(c)
The strength
of the rerationship
between
the x and y variabres
(D)None
of these
12.If there is a very strong correlation between two variables then the
correlation coefficient must be
(A) any value larger than 1
(B) much smaller than 0, if the correlation is negative
(C) much larger than 0, regardless of whether the correlation is negative or
positive
(D) None of these alternatives is correct.
l3.In regression, the equation that describes how the responsevariable (y) is
related to the explanatory variable (x) is:
(A) the correlation model
(B) the regression model
(C) used to compute the conelation coefficient
(D)
None of these alternatives is correct
I4.SSE can never be
(A) larger than sST (B) smalrer than SST (c) equal to I (D) equal to
zero
l5.Relationship
between correlation coefficient and coefficient of
determination is that
A both are unrelated
B The coefficient of determination is the coefficient of correlation squared
a
The coefficient of determination is the square root of the coefficient of
correlatlon
D both are equal
l6.In multiple regression, when the global test of significance is rejected, we
can conclude that
A All of the net sample regression coefficients are equal to zero
B All of the sample regression coefficients are not equal to zero
c At least one sample regression coefficient is not equal to zero
D The regression equation intersects the
y-axis
at zero.
l7.In general, the expected frequencies per cell in the conduct of a Chi-Square
test are those one would
A. expect to find in a given cell if the null hypothesis were actually true
B. expect to find in a given cell if either the null hypothesis or the alternative
hypothesis were actually true
c.expect to find in a given cell if the null hypothesis were actually false
D. expect to find in a given cell if the alternative hypothesis were actually true
l8.The degrees of freedom for the Chi-square test statistic when testing for
independence in a contingency table with 4 rows and 4 columns would be
A. 5 8.9 C.7 D. t2
l9.Which of the following statistical methods is appropriate to test whether or
not there is sufficient evidence of a difference between the proportions
of
two related samples?
A. chi-Square test of independence
B. wilcoxon Rank Sum Test
c. Kruskal-
Wallis rank test D. McNemar Test
20.When using the chi-square test for differences in two proportions with a
contingency table that has r rows and c columns, the degrees of freedom for
the test statistic will be:
A.(r- l)+(c- l).B.nl +n2 -'2.C. n-1. D.(r- l)(c- t).
2l .An advantage of nonparametric
statistics is that
A. you need a computer to calculate them. B. they have many assumptions to
meet.
C. they are easy to calculate.
D. they are very powerful
22.In most situations, parametric
tests
A. have the same power
as nonparametric tests.
B. are less powerful than nonparametric
tests.
C. are more powerful than nonparametric tests.
D. are less sensitive than nonparametric tests.
23.If you have nominal data which nonparametric statistic should you use?
A. Chi-square B. Spearman's rho C. the t-test D. Wilcoxon
24.Power of a test is related to
A. Type I error B. type II error C. both a and b D. none
25.Range of variance ratio, F is
A.-1 to+l B.-ootom C.0toco D.0tol
26.In one way classification of ANOVA the observations are classified into
A. two groups B. three Groups C. as many as required D. many group
27.In one way ANOVA the variance are
A. between samples B. within samples C. total D. all
23.Probable error is used for
A. measuring the error in r B. testing the significance of r C. both a and b
D. neither a nor b
29.Which one is not a non- parametric test
A. chi square test B. t
-
test C. sign test D. rank test
30.Analysis of variance utilises
A. F
-
test B. chi square test C. Z
-
test D. t
-
test
3l.The idea of product moment correlation was given by
A. Fisher B. Francis C. Karl pearson D. Spearman
32.When r: I the correlation is
A. positively perfect B. perfect
C. good D. normal
33.An analysis of covariance between two or more variable is
A. regression B. time series C. correlation D. coefficient of variation
34.Control chart is:
i. Process monitoring'tool
ii. Process control tool
iii. Process planning tool
A. ionly B. i & ii C. i, ii & iii D. None of the above
35.Estimation is possible only in case of a:
A. Par a meter B. Sample C. Random sample D. Population
36.Estimation is of two types:
A. one sided and two sided B. Type I and type II c. Point estimation
and interval estimation
FirstRanker.com - FirstRanker's Choice
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QUANTITATIVE TECHNIQUES
FOR BUSINESS
DECISIONS
I . The strength (degree)
of the correlation between a set of independent
variables X and a dependent variable
y
is measured by
A) Coefficient of Correlation
B) Coefficient of Determination
C)
Standard error of estimate
D) All of the above
2. The percent of totalvariation
of the dependent variable Y explained by the
set of independent variables X is measured by
A) coefficient of correlationB)
coefficient of Skewness
C) Coefficient of Determination
D) Standard Enor or Estimate
E) Multicollinearity
3. A coefficient of correlation is computed to be -0.95 means that
A) The relationship
between two variables is weak
B) The relationship
between two variables is strong and positive
c) The relationship
between trvo variables is strong and tut negative
D) Correlation coefficient cannot have this value
4. Let the coefficient of determination
computed to be 0.39 in a problem
involving
one independent
variable and one dependent variabie. This result
means that
A) The relationship
between two variables is negative
B) The correlation
coefficient is 0.39 also
c) 39o/o of the total variation is explained by the independent
variable
D) 39% of the total variation is explained
uy trre dependent variable
5. Relationship
between correlation coefficient and coefficient
of
determination
is that
A) both are unrelated
B) The coefficient
of determination
is the coefficient
of correlation
squared
C) The coefficient
of determination
is the square root of the coefficient
of
correlation
D) both are equal
6. Multicollinearity
exists when
A) Independent variables are correlated less than -0.70 or more than 0.70
B) An independent variables is strongly correlated with a dependent variable
C) There is only one independent variable
D) The relationship
between dependent and independent variable is non-linear
7. If "time" is used as the independent variable in a simple linear regression
analysis, then which of the following assumption could be violated
A) There is a linear relationship
between the independent and dependent
variables
B) The residual variation is the same for all fitted values of
y
C) The residuals are normally distributed
D) Successive
observations of the dependent variable are uncorrelated
8. In multiple regression,
when the global test of significance is rejected, we
can conclude that
A) All of the net sample regression
coefficients are equal to zero
B) All of the sample regression
coefficients
are not equal to zero
c) At Ieast one sample regression
coefficient is not equat to zero
D) The regression
equation intersects
the
y-axis
at zero.
9. A residual
is defined as
A) Y-Yn
B) Error sum of square
C) Regression
sum of squares
D) Type I Error
l0.what
test statistic is used for a globar
test of significance?
A) Ztest
B) t test
C) Chi-square
test
D) F test
I l.The correlation
coefficient
is used to determine:
(A)
A specific
value
of the y-variabre
given
a specific
varue
of the x -variabre
(B)
A specific
varue
of the x - variabre
given
a specific
varue
of the y - variabre
(c)
The strength
of the rerationship
between
the x and y variabres
(D)None
of these
12.If there is a very strong correlation between two variables then the
correlation coefficient must be
(A) any value larger than 1
(B) much smaller than 0, if the correlation is negative
(C) much larger than 0, regardless of whether the correlation is negative or
positive
(D) None of these alternatives is correct.
l3.In regression, the equation that describes how the responsevariable (y) is
related to the explanatory variable (x) is:
(A) the correlation model
(B) the regression model
(C) used to compute the conelation coefficient
(D)
None of these alternatives is correct
I4.SSE can never be
(A) larger than sST (B) smalrer than SST (c) equal to I (D) equal to
zero
l5.Relationship
between correlation coefficient and coefficient of
determination is that
A both are unrelated
B The coefficient of determination is the coefficient of correlation squared
a
The coefficient of determination is the square root of the coefficient of
correlatlon
D both are equal
l6.In multiple regression, when the global test of significance is rejected, we
can conclude that
A All of the net sample regression coefficients are equal to zero
B All of the sample regression coefficients are not equal to zero
c At least one sample regression coefficient is not equal to zero
D The regression equation intersects the
y-axis
at zero.
l7.In general, the expected frequencies per cell in the conduct of a Chi-Square
test are those one would
A. expect to find in a given cell if the null hypothesis were actually true
B. expect to find in a given cell if either the null hypothesis or the alternative
hypothesis were actually true
c.expect to find in a given cell if the null hypothesis were actually false
D. expect to find in a given cell if the alternative hypothesis were actually true
l8.The degrees of freedom for the Chi-square test statistic when testing for
independence in a contingency table with 4 rows and 4 columns would be
A. 5 8.9 C.7 D. t2
l9.Which of the following statistical methods is appropriate to test whether or
not there is sufficient evidence of a difference between the proportions
of
two related samples?
A. chi-Square test of independence
B. wilcoxon Rank Sum Test
c. Kruskal-
Wallis rank test D. McNemar Test
20.When using the chi-square test for differences in two proportions with a
contingency table that has r rows and c columns, the degrees of freedom for
the test statistic will be:
A.(r- l)+(c- l).B.nl +n2 -'2.C. n-1. D.(r- l)(c- t).
2l .An advantage of nonparametric
statistics is that
A. you need a computer to calculate them. B. they have many assumptions to
meet.
C. they are easy to calculate.
D. they are very powerful
22.In most situations, parametric
tests
A. have the same power
as nonparametric tests.
B. are less powerful than nonparametric
tests.
C. are more powerful than nonparametric tests.
D. are less sensitive than nonparametric tests.
23.If you have nominal data which nonparametric statistic should you use?
A. Chi-square B. Spearman's rho C. the t-test D. Wilcoxon
24.Power of a test is related to
A. Type I error B. type II error C. both a and b D. none
25.Range of variance ratio, F is
A.-1 to+l B.-ootom C.0toco D.0tol
26.In one way classification of ANOVA the observations are classified into
A. two groups B. three Groups C. as many as required D. many group
27.In one way ANOVA the variance are
A. between samples B. within samples C. total D. all
23.Probable error is used for
A. measuring the error in r B. testing the significance of r C. both a and b
D. neither a nor b
29.Which one is not a non- parametric test
A. chi square test B. t
-
test C. sign test D. rank test
30.Analysis of variance utilises
A. F
-
test B. chi square test C. Z
-
test D. t
-
test
3l.The idea of product moment correlation was given by
A. Fisher B. Francis C. Karl pearson D. Spearman
32.When r: I the correlation is
A. positively perfect B. perfect
C. good D. normal
33.An analysis of covariance between two or more variable is
A. regression B. time series C. correlation D. coefficient of variation
34.Control chart is:
i. Process monitoring'tool
ii. Process control tool
iii. Process planning tool
A. ionly B. i & ii C. i, ii & iii D. None of the above
35.Estimation is possible only in case of a:
A. Par a meter B. Sample C. Random sample D. Population
36.Estimation is of two types:
A. one sided and two sided B. Type I and type II c. Point estimation
and interval estimation
D. Biased and unbiased
37.The level of confidence is denoted by
A.o B.B C. l-o D.l-B
38.Using the terminology of statistical control, the variation within a stable
system
A. is random variation. B. results from common causes.
c. is predictable
within a range. D. a and b. E. all of the above.
39.Using the terminology associated with statistical process control (SPC), the
variation within a stable system is
A. predictable within a range of values. B. controllable.C. in control.D. a
and b. E. a and c.
40.Cluster sampling, stratified sampling and systematic sampling are types of
A. direct sampling B. indirect sampling c. random sampling D. non
random sampling
4l.Quota sampling,
judgment
sampling and convenience sampling are
classified as types of
A. random sampling B. non random sampling c. direct sampling D.
indirect sampling
42.Type of sampling In which each element of population has equally likely
chance of occurrence in a random sample is classified as
A. regular and irregular sampling B. error free sampling c. inertia
sampling D. simple random sampling
43.What is the advantage of using SPSS over calculating statistics by hand?
A. It equips you with a useful transferable skill.
B. It reduces the chance of making errors in your calculations.
c. Many researchers use SpSS as it is a recognised software package.
D. All of the above.
44.What does the operation
"Recode Into Different Variables" do to the data?
A. Replaces missing data with some random scores.
B. Reverses the position of the independent and dependent variable on a
graph.
C. Redistributes a range of values into a new set of categories and creates a
new variable.
D. Represents the data in the form of a pie chart.
45.Malcolm Baldrige national quality award is for (MBNeA)
A. Total
Quality
Management
B. International Standard Organization
c. Total Productive Maintenance
D. Total
euality
control
FirstRanker.com - FirstRanker's Choice
lz
QUANTITATIVE TECHNIQUES
FOR BUSINESS
DECISIONS
I . The strength (degree)
of the correlation between a set of independent
variables X and a dependent variable
y
is measured by
A) Coefficient of Correlation
B) Coefficient of Determination
C)
Standard error of estimate
D) All of the above
2. The percent of totalvariation
of the dependent variable Y explained by the
set of independent variables X is measured by
A) coefficient of correlationB)
coefficient of Skewness
C) Coefficient of Determination
D) Standard Enor or Estimate
E) Multicollinearity
3. A coefficient of correlation is computed to be -0.95 means that
A) The relationship
between two variables is weak
B) The relationship
between two variables is strong and positive
c) The relationship
between trvo variables is strong and tut negative
D) Correlation coefficient cannot have this value
4. Let the coefficient of determination
computed to be 0.39 in a problem
involving
one independent
variable and one dependent variabie. This result
means that
A) The relationship
between two variables is negative
B) The correlation
coefficient is 0.39 also
c) 39o/o of the total variation is explained by the independent
variable
D) 39% of the total variation is explained
uy trre dependent variable
5. Relationship
between correlation coefficient and coefficient
of
determination
is that
A) both are unrelated
B) The coefficient
of determination
is the coefficient
of correlation
squared
C) The coefficient
of determination
is the square root of the coefficient
of
correlation
D) both are equal
6. Multicollinearity
exists when
A) Independent variables are correlated less than -0.70 or more than 0.70
B) An independent variables is strongly correlated with a dependent variable
C) There is only one independent variable
D) The relationship
between dependent and independent variable is non-linear
7. If "time" is used as the independent variable in a simple linear regression
analysis, then which of the following assumption could be violated
A) There is a linear relationship
between the independent and dependent
variables
B) The residual variation is the same for all fitted values of
y
C) The residuals are normally distributed
D) Successive
observations of the dependent variable are uncorrelated
8. In multiple regression,
when the global test of significance is rejected, we
can conclude that
A) All of the net sample regression
coefficients are equal to zero
B) All of the sample regression
coefficients
are not equal to zero
c) At Ieast one sample regression
coefficient is not equat to zero
D) The regression
equation intersects
the
y-axis
at zero.
9. A residual
is defined as
A) Y-Yn
B) Error sum of square
C) Regression
sum of squares
D) Type I Error
l0.what
test statistic is used for a globar
test of significance?
A) Ztest
B) t test
C) Chi-square
test
D) F test
I l.The correlation
coefficient
is used to determine:
(A)
A specific
value
of the y-variabre
given
a specific
varue
of the x -variabre
(B)
A specific
varue
of the x - variabre
given
a specific
varue
of the y - variabre
(c)
The strength
of the rerationship
between
the x and y variabres
(D)None
of these
12.If there is a very strong correlation between two variables then the
correlation coefficient must be
(A) any value larger than 1
(B) much smaller than 0, if the correlation is negative
(C) much larger than 0, regardless of whether the correlation is negative or
positive
(D) None of these alternatives is correct.
l3.In regression, the equation that describes how the responsevariable (y) is
related to the explanatory variable (x) is:
(A) the correlation model
(B) the regression model
(C) used to compute the conelation coefficient
(D)
None of these alternatives is correct
I4.SSE can never be
(A) larger than sST (B) smalrer than SST (c) equal to I (D) equal to
zero
l5.Relationship
between correlation coefficient and coefficient of
determination is that
A both are unrelated
B The coefficient of determination is the coefficient of correlation squared
a
The coefficient of determination is the square root of the coefficient of
correlatlon
D both are equal
l6.In multiple regression, when the global test of significance is rejected, we
can conclude that
A All of the net sample regression coefficients are equal to zero
B All of the sample regression coefficients are not equal to zero
c At least one sample regression coefficient is not equal to zero
D The regression equation intersects the
y-axis
at zero.
l7.In general, the expected frequencies per cell in the conduct of a Chi-Square
test are those one would
A. expect to find in a given cell if the null hypothesis were actually true
B. expect to find in a given cell if either the null hypothesis or the alternative
hypothesis were actually true
c.expect to find in a given cell if the null hypothesis were actually false
D. expect to find in a given cell if the alternative hypothesis were actually true
l8.The degrees of freedom for the Chi-square test statistic when testing for
independence in a contingency table with 4 rows and 4 columns would be
A. 5 8.9 C.7 D. t2
l9.Which of the following statistical methods is appropriate to test whether or
not there is sufficient evidence of a difference between the proportions
of
two related samples?
A. chi-Square test of independence
B. wilcoxon Rank Sum Test
c. Kruskal-
Wallis rank test D. McNemar Test
20.When using the chi-square test for differences in two proportions with a
contingency table that has r rows and c columns, the degrees of freedom for
the test statistic will be:
A.(r- l)+(c- l).B.nl +n2 -'2.C. n-1. D.(r- l)(c- t).
2l .An advantage of nonparametric
statistics is that
A. you need a computer to calculate them. B. they have many assumptions to
meet.
C. they are easy to calculate.
D. they are very powerful
22.In most situations, parametric
tests
A. have the same power
as nonparametric tests.
B. are less powerful than nonparametric
tests.
C. are more powerful than nonparametric tests.
D. are less sensitive than nonparametric tests.
23.If you have nominal data which nonparametric statistic should you use?
A. Chi-square B. Spearman's rho C. the t-test D. Wilcoxon
24.Power of a test is related to
A. Type I error B. type II error C. both a and b D. none
25.Range of variance ratio, F is
A.-1 to+l B.-ootom C.0toco D.0tol
26.In one way classification of ANOVA the observations are classified into
A. two groups B. three Groups C. as many as required D. many group
27.In one way ANOVA the variance are
A. between samples B. within samples C. total D. all
23.Probable error is used for
A. measuring the error in r B. testing the significance of r C. both a and b
D. neither a nor b
29.Which one is not a non- parametric test
A. chi square test B. t
-
test C. sign test D. rank test
30.Analysis of variance utilises
A. F
-
test B. chi square test C. Z
-
test D. t
-
test
3l.The idea of product moment correlation was given by
A. Fisher B. Francis C. Karl pearson D. Spearman
32.When r: I the correlation is
A. positively perfect B. perfect
C. good D. normal
33.An analysis of covariance between two or more variable is
A. regression B. time series C. correlation D. coefficient of variation
34.Control chart is:
i. Process monitoring'tool
ii. Process control tool
iii. Process planning tool
A. ionly B. i & ii C. i, ii & iii D. None of the above
35.Estimation is possible only in case of a:
A. Par a meter B. Sample C. Random sample D. Population
36.Estimation is of two types:
A. one sided and two sided B. Type I and type II c. Point estimation
and interval estimation
D. Biased and unbiased
37.The level of confidence is denoted by
A.o B.B C. l-o D.l-B
38.Using the terminology of statistical control, the variation within a stable
system
A. is random variation. B. results from common causes.
c. is predictable
within a range. D. a and b. E. all of the above.
39.Using the terminology associated with statistical process control (SPC), the
variation within a stable system is
A. predictable within a range of values. B. controllable.C. in control.D. a
and b. E. a and c.
40.Cluster sampling, stratified sampling and systematic sampling are types of
A. direct sampling B. indirect sampling c. random sampling D. non
random sampling
4l.Quota sampling,
judgment
sampling and convenience sampling are
classified as types of
A. random sampling B. non random sampling c. direct sampling D.
indirect sampling
42.Type of sampling In which each element of population has equally likely
chance of occurrence in a random sample is classified as
A. regular and irregular sampling B. error free sampling c. inertia
sampling D. simple random sampling
43.What is the advantage of using SPSS over calculating statistics by hand?
A. It equips you with a useful transferable skill.
B. It reduces the chance of making errors in your calculations.
c. Many researchers use SpSS as it is a recognised software package.
D. All of the above.
44.What does the operation
"Recode Into Different Variables" do to the data?
A. Replaces missing data with some random scores.
B. Reverses the position of the independent and dependent variable on a
graph.
C. Redistributes a range of values into a new set of categories and creates a
new variable.
D. Represents the data in the form of a pie chart.
45.Malcolm Baldrige national quality award is for (MBNeA)
A. Total
Quality
Management
B. International Standard Organization
c. Total Productive Maintenance
D. Total
euality
control
a
46.TQM & ISO both focuses on
A. Customer B. Employee C. Supplier D. All of the above
4T.Quantitative tools of TQM are
A. fishbone diagram B. paretto diagram c. both a and b D. none
48.Examples of control charts
A. mean chart B. range chart C. pie chart D. both a and b
49.Size of samples are
A. 29 or less B. 30 or more C. 50 or less D. 20 or less
50.when the estimated value is a single specific value of population, it is
called
A. point estimate B. time estimate
c. interval estimate D. none
FirstRanker.com - FirstRanker's Choice
This post was last modified on 26 December 2019