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Download UOC (University of Calicut) M.Com (Master of Commerce) Quantitative Techniques for Business Decision Question Bank (Important Questions)

This post was last modified on 26 December 2019

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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........
    1. Correlation techniques
    2. --- Content provided by FirstRanker.com ---

    3. Mathematical techniques
    4. Quantitative techniques
    5. None of the above
  2. Correlation analysis is a .........................
    1. Univariate analysis
    2. --- Content provided by FirstRanker.com ---

    3. Bivariate analysis
    4. Multivariate analysis
    5. Both b and c
  3. If change in one variable results a corresponding change in the other variable, then the variables are....
    1. Correlated
    2. --- Content provided by FirstRanker.com ---

    3. Not correlated
    4. Any of the above
    5. None of the above
  4. When the values of two variables move in the same direction, correlation is said to be .........................
    1. Linear
    2. --- Content provided by FirstRanker.com ---

    3. Non-linear
    4. Positive
    5. Negative
  5. When the values of two variables move in the opposite directions, correlation is said to be .........................
    1. Linear
    2. --- Content provided by FirstRanker.com ---

    3. Non-linear
    4. Positive
    5. 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 .........................
    1. Linear
    2. --- Content provided by FirstRanker.com ---

    3. Non-linear
    4. Positive
    5. Negative
  7. .........attempts to determine the degree of relationship between variables.
    1. Regression analysis
    2. --- Content provided by FirstRanker.com ---

    3. Correlation analysis
    4. Inferential analysis
    5. None of these
  8. Non-linear correlation is also called.........................
    1. Non-curvy linear correlation
    2. --- Content provided by FirstRanker.com ---

    3. Curvy linear correlation
    4. Zero correlation
    5. None of these
  9. Scatter diagram is also called .........................
    1. Dot chart
    2. --- Content provided by FirstRanker.com ---

    3. Correlation graph
    4. Both a and b
    5. 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.........................
    1. Zero correlation
    2. --- Content provided by FirstRanker.com ---

    3. High degree of positive correlation
    4. Perfect negative correlation
    5. 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.........................
    1. Zero correlation
    2. --- Content provided by FirstRanker.com ---

    3. High degree of positive correlation
    4. Perfect negative correlation
    5. Perfect positive correlation
  12. Numerical measure of correlation is called .........................
    1. Coefficient of correlation
    2. --- Content provided by FirstRanker.com ---

    3. Coefficient of determination
    4. Coefficient of non-determination
    5. Coefficient of regression
  13. Coefficient of correlation explains:
    1. Concentration
    2. --- Content provided by FirstRanker.com ---

    3. Relation
    4. Dispersion
    5. Asymmetry
  14. Coefficient of correlation lies between:
    1. 0 and +1
    2. --- Content provided by FirstRanker.com ---

    3. 0 and-1
    4. -1 and +1
    5. 3 and +3
  15. A high degree of +ve correlation between availability of rainfall and weight of weight of people is:
    1. A meaningless correlation
    2. --- Content provided by FirstRanker.com ---

    3. A spurious correlation
    4. A nonsense correlation
    5. 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 .........................
    1. Linear
    2. --- Content provided by FirstRanker.com ---

    3. Non-linear
    4. Curvilinear
    5. None of these
  17. Pearsonian correlation coefficient if denoted by the symbol ..........
    1. K
    2. --- Content provided by FirstRanker.com ---

    3. r
    4. R
    5. None of these
  18. If r= +1, the correlation is said to be .........................
    1. High degree of +ve correlation
    2. --- Content provided by FirstRanker.com ---

    3. High degree of -ve correlation
    4. Perfect +ve correlation
    5. Perfect -ve correlation
  19. If the dots in a scatter diagram fall on a narrow band, it indicates a ......................... degree of correlation.
    1. Zero
    2. --- Content provided by FirstRanker.com ---

    3. High
    4. Low
    5. 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 .........................
    1. 0
    2. --- Content provided by FirstRanker.com ---

    3. +1
    4. -1
    5. 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.
    1. High degree
    2. --- Content provided by FirstRanker.com ---

    3. Low degree
    4. Moderate degree
    5. Absence
  22. If dots are lying on a scatter diagram in a haphazard manner, then r = .........................
    1. 0
    2. --- Content provided by FirstRanker.com ---

    3. +1
    4. -1
    5. None of these
  23. The unit of Coefficient of correlation is .........................
    1. Percentage
    2. --- Content provided by FirstRanker.com ---

    3. Ratio
    4. Same unit of the data
    5. No unit
  24. Product moment correlation method is also called .........................
    1. Rank correlation
    2. --- Content provided by FirstRanker.com ---

    3. Pearsonian correlation
    4. Concurrent deviation
    5. None of these
  25. The -ve sign of correlation coefficient between X and Y indicates.........................
    1. X decreasing, Y increasing
    2. --- Content provided by FirstRanker.com ---

    3. X increasing, Y decreasing
    4. Any of the above
    5. There is no change in X and Y
  26. Coefficient of correlation explains .........................of the relationship between two variables.
    1. Degree
    2. --- Content provided by FirstRanker.com ---

    3. Direction
    4. Both of the above
    5. None of the above
  27. For perfect correlation, the coefficient of correlation should be .........................
    1. ± 1
    2. --- Content provided by FirstRanker.com ---

    3. + 1
    4. -1
    5. 0
  28. Rank correlation coefficient was discovered by.........................
    1. Fisher
    2. --- Content provided by FirstRanker.com ---

    3. Spearman
    4. Karl Pearson
    5. Bowley
  29. The rank correlation coefficient is always.........................
    1. + 1
    2. --- Content provided by FirstRanker.com ---

    3. -1
    4. 0
    5. Between + 1 and -1
  30. Spearman's Rank Correlation Coefficient is usually denoted by...............
    1. k
    2. --- Content provided by FirstRanker.com ---

    3. r
    4. S
    5. R
  31. Probable error is used to:
    1. Test the reliability of correlation coefficient
    2. --- Content provided by FirstRanker.com ---

    3. Measure the error in correlation coefficient
    4. Both a an b
    5. None of these
  32. If coefficient of correlation is more than .........................of its P E, correlation is significant.
    1. 2 times
    2. --- Content provided by FirstRanker.com ---

    3. 5 times
    4. 6 times
    5. 10 times
  33. In correlation analysis, Probable Error = ......................... x 0.6745
    1. Standard deviation
    2. --- Content provided by FirstRanker.com ---

    3. Standard error
    4. Coefficient of correlation
    5. None of these
  34. Coefficient of concurrent deviation depends
    1. The signs of the deviations
    2. --- Content provided by FirstRanker.com ---

    3. The magnitude of the deviation
    4. Bothe a and b
    5. None of these
  35. Correlation analysis between two sets of data only is called.........................
    1. Partial correlation
    2. --- Content provided by FirstRanker.com ---

    3. Multiple correlation
    4. Nonsense correlation
    5. Simple correlation
  36. Correlation analysis between one dependent variable with one independent variable by keeping the other independent variables as constant is called.........................
    1. Partial correlation
    2. --- Content provided by FirstRanker.com ---

    3. Multiple correlation
    4. Nonsense correlation
    5. Simple correlation
  37. Study of correlation among three or more variables simultaneously is called.............
    1. Partial correlation
    2. --- Content provided by FirstRanker.com ---

    3. Multiple correlation
    4. Nonsense correlation
    5. Simple correlation
  38. If r = 0.8, coefficient of determination is.....
    1. 80%
    2. --- Content provided by FirstRanker.com ---

    3. 8%
    4. 64%
    5. 0.8%
  39. If r is the simple correlation coefficient, the quantity r² is known as .........................
    1. Coefficient of determination
    2. --- Content provided by FirstRanker.com ---

    3. Coefficient of non-determination
    4. Coefficient of alienation
    5. None of these
  40. If r is the simple correlation coefficient, the quantity 1 -- r² is known as .........................
    1. Coefficient of determination
    2. --- Content provided by FirstRanker.com ---

    3. Coefficient of non-determination
    4. Coefficient of alienation
    5. None of these
  41. The term regression was first used by.........................
    1. Karl Pearson
    2. --- Content provided by FirstRanker.com ---

    3. Spearman
    4. R A Fisher
    5. Francis Galton
  42. .........................refers to analysis of average relationship between two variables to provide mechanism for prediction.
    1. Correlation
    2. --- Content provided by FirstRanker.com ---

    3. Regression
    4. Standard error
    5. None of these
  43. If there are two variables, there can be at most......................... number of regression lines.
    1. One
    2. --- Content provided by FirstRanker.com ---

    3. Two
    4. Three
    5. Infinite
  44. If the regression line is Y on X, then the variable X is known as.........................
    1. Independent variable
    2. --- Content provided by FirstRanker.com ---

    3. Explanatory variable
    4. Regressor
    5. All the above
  45. Regression line is also called.........................
    1. Estimating equation
    2. --- Content provided by FirstRanker.com ---

    3. Prediction equation
    4. Line of average relationship
    5. All the above
  46. If the regression line is X on Y, then the variable X is known as.........................
    1. Dependent variable
    2. --- Content provided by FirstRanker.com ---

    3. Explained variable
    4. Both a and b
    5. Regressor
  47. If the regression line is X on Y, then the variable X is known as.........................
    1. Dependent variable
    2. --- Content provided by FirstRanker.com ---

    3. Independent variable
    4. Bothe a and b
    5. None of the above
  48. If the regression line is Y on X, then the variable X is known as.........................
    1. Dependent variable
    2. --- Content provided by FirstRanker.com ---

    3. Independent variable
    4. Both a and b
    5. None of the above
  49. The point of intersection of two regression lines is.........................
    1. (0,0)
    2. --- Content provided by FirstRanker.com ---

    3. (1,1)
    4. (x,y)
    5. (x̄, ȳ)
  50. If r = ± 1, the two regression lines are.........................
    1. Coincident
    2. --- Content provided by FirstRanker.com ---

    3. Parallel
    4. Perpendicular to each other
    5. None of these
  51. If r = 1, the angle between the two regression lines is.........................
    1. Ninety degree
    2. --- Content provided by FirstRanker.com ---

    3. Thirty degree
    4. Zero degree
    5. Sixty degree
  52. If r = 0, the two regression lines are:
    1. Coincident
    2. --- Content provided by FirstRanker.com ---

    3. Parallel
    4. Perpendicular to each other
    5. None of these
  53. If bxy and byx are two regression coefficients, they have:
    1. Same signs
    2. --- Content provided by FirstRanker.com ---

    3. Opposite signs
    4. Either a or b
    5. None of the above.
  54. If byx > 1, then bxy is:
    1. Greater than one
    2. --- Content provided by FirstRanker.com ---

    3. Less than one
    4. Equal to one
    5. Equal to zero
  55. If X and Y are independent, the value of byx is equal to .........................
    1. Zero
    2. --- Content provided by FirstRanker.com ---

    3. One
    4. Infinity
    5. Any positive value
  56. The property that both the regression coefficients and correlation coefficient have same signs is called.........................
    1. Fundamental property
    2. --- Content provided by FirstRanker.com ---

    3. Magnitude property
    4. Signature property
    5. None of these
  57. The property that byx > 1 implies that bxy < 1 is known as .........................
    1. Fundamental property
    2. --- Content provided by FirstRanker.com ---

    3. Magnitude property
    4. Signature property
    5. None of these
  58. If X and Y are independent, the property byx = bxy = 0 is called .........................
    1. Fundamental property
    2. --- Content provided by FirstRanker.com ---

    3. Magnitude property
    4. Mean property
    5. Independence property
  59. The Correlation coefficient between two variables is the ......................... of their regression coefficients.
    1. Arithmetic mean
    2. --- Content provided by FirstRanker.com ---

    3. Geometric mean
    4. Harmonic mean
    5. 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........
    1. Positive
    2. --- Content provided by FirstRanker.com ---

    3. Negative
    4. Not certain
    5. None of these
  61. The G M of two regression coefficients byx and bxy is equal to .........................
    1. r
    2. --- Content provided by FirstRanker.com ---

    3. 1-r²
    4. None of these
  62. If one regression coefficient is negative, the other is .........................
    1. 0
    2. --- Content provided by FirstRanker.com ---

    3. - ve
    4. +ve
    5. Either a or b
  63. Arithmetic mean of the two regression coefficients is:
    1. Equal to correlation coefficient
    2. --- Content provided by FirstRanker.com ---

    3. Greater than correlation coefficient
    4. Less than correlation coefficient
    5. Equal to or greater than correlation coefficient
  64. byx is the regression coefficient of the regression equation.........................
    1. Y on X
    2. --- Content provided by FirstRanker.com ---

    3. X on Y
    4. Either a or b
    5. None of these
  65. bxy is the regression coefficient of the regression equation.........................
    1. Y on X
    2. --- Content provided by FirstRanker.com ---

    3. X on Y
    4. Either a or b
    5. None of these
  66. In ......................... regression analysis, only one independent variable is used to explain the dependent variable.
    1. Multiple
    2. --- Content provided by FirstRanker.com ---

    3. Non-linear
    4. Linear
    5. None of these
  67. The regression coefficient and correlation coefficient of the two variables will be the same if their .........................are same.
    1. Arithmetic mean
    2. --- Content provided by FirstRanker.com ---

    3. Standard deviation
    4. Geometric mean
    5. Mean deviation
  68. The idea of testing of hypothesis was first set forth by .........................
    1. R A Fisher
    2. --- Content provided by FirstRanker.com ---

    3. J Neyman
    4. E L Lehman
    5. A Wald
  69. By testing of hypothesis, we mean:
    1. A significant procedure in Statistics
    2. --- Content provided by FirstRanker.com ---

    3. A method of making a significant statement
    4. A rule for accepting or rejecting hypothesis
    5. A significant estimation of a problem.
  70. Testing of hypothesis and .........................are the two branches of statistical inference.
    1. Statistical analysis
    2. --- Content provided by FirstRanker.com ---

    3. Probability
    4. Correlation analysis
    5. Estimation
  71. ......................... is the original hypothesis
    1. Null hypothesis
    2. --- Content provided by FirstRanker.com ---

    3. Alternative hypothesis
    4. Either a or b
    5. None of these
  72. A null hypothesis is denoted by.........................
    1. Ho
    2. --- Content provided by FirstRanker.com ---

    3. H1
    4. NH
    5. None of these
  73. An alternative hypothesis is denoted by.........................
    1. Ho
    2. --- Content provided by FirstRanker.com ---

    3. H1
    4. AH
    5. None of these
  74. Whether a test is one sided or two sided, depends on.........................
    1. Simple hypothesis
    2. --- Content provided by FirstRanker.com ---

    3. Composite hypothesis
    4. Null hypothesis
    5. Alternative hypothesis
  75. A wrong decision about null hypothesis leads to:
    1. One kind of error
    2. --- Content provided by FirstRanker.com ---

    3. Two kinds of errors
    4. Three kinds of errors
    5. Four kinds of errors
  76. Power of a test is related to .........................
    1. Type I error
    2. --- Content provided by FirstRanker.com ---

    3. Type II error
    4. Both a and b
    5. None of these
  77. Level of significance is the probability of.........................
    1. Type I error
    2. --- Content provided by FirstRanker.com ---

    3. Type II error
    4. Both a and b
    5. None of these
  78. Which type of error is more severe error:
    1. Type I error
    2. --- Content provided by FirstRanker.com ---

    3. Type II error
    4. Both a and b
    5. None of these
  79. Type II error means.........................
    1. Accepting a true hypothesis
    2. --- Content provided by FirstRanker.com ---

    3. Rejecting a true hypothesis
    4. Accepting a wrong hypothesis
    5. Rejecting a wrong hypothesis
  80. Type I error is denoted by............
    1. Alpha
    2. --- Content provided by FirstRanker.com ---

    3. Beta
    4. Gamma
    5. None of these
  81. Type II error is denoted by.........................
    1. Alpha
    2. --- Content provided by FirstRanker.com ---

    3. Beta
    4. Gamma
    5. None of these
  82. The level of probability of accepting a true null hypothesis is called.........................
    1. Degree of freedom
    2. --- Content provided by FirstRanker.com ---

    3. Level of significance
    4. Level of confidence
    5. D,
  83. The probability of rejecting a true null hypothesis is called .........................
    1. Degree of freedom
    2. --- Content provided by FirstRanker.com ---

    3. Level of significance
    4. Level of confidence
    5. None of these
  84. 1-Level of confidence =.........................
    1. Level of significance
    2. --- Content provided by FirstRanker.com ---

    3. Degree of freedom
    4. Either a or b
    5. None of these
  85. While testing a hypothesis, if level of significance is not mentioned, we take ......................... level of significance.
    1. 1%
    2. --- Content provided by FirstRanker.com ---

    3. 2%
    4. 5%
    5. 10%
  86. A sample is treated as large sample, when its size is.........................
    1. More than 100
    2. --- Content provided by FirstRanker.com ---

    3. More than 75
    4. More than 50
    5. 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.
    1. Sample size
    2. --- Content provided by FirstRanker.com ---

    3. Degree of freedom
    4. Level of significance
    5. Level of confidence
  88. Total number of observations - number of constraints =.........................
    1. Level of significance
    2. --- Content provided by FirstRanker.com ---

    3. Degree of freedom
    4. Level of confidence
    5. Sample size
  89. Accepting a null hypothesis when it is false is called.........................
    1. Type I error
    2. --- Content provided by FirstRanker.com ---

    3. Type II error
    4. Probable error
    5. Standard error
  90. Accepting a null hypothesis when it is true is called.........................
    1. Type I error
    2. --- Content provided by FirstRanker.com ---

    3. Type II error
    4. Probable error
    5. No error
  91. When sample is small, ......................... test is applied.
    1. t-test
    2. --- Content provided by FirstRanker.com ---

    3. Z test
    4. F test
    5. None of these
  92. To test a hypothesis about proportions of items in a class, the usual test is..............
    1. t-test
    2. --- Content provided by FirstRanker.com ---

    3. Z- test
    4. F test
    5. Sign test
  93. Student's t-test is applicable when:
    1. The values of the variate are independent
    2. --- Content provided by FirstRanker.com ---

    3. The variable is distributed normally
    4. The sample is small
    5. All the above
  94. Testing of hypotheses H。 : μ = 45 vs. H₁ : μ > 45 when the population standard deviation is known, the appropriate test is:
    1. t-test
    2. --- Content provided by FirstRanker.com ---

    3. Z test
    4. Chi-square test
    5. F test
  95. Testing of hypotheses Ho : μ = 85 vs. H₁ : μ > 85, is a .........................test.
    1. One sided left tailed test
    2. --- Content provided by FirstRanker.com ---

    3. One sided right tailed test
    4. Two tailed test
    5. None of these
  96. Testing of hypotheses Ho : μ = 65 vs. H₁ : μ < 65, is a .........................test
    1. One sided left tailed test
    2. --- Content provided by FirstRanker.com ---

    3. One sided right tailed test
    4. Two tailed test
    5. None of these
  97. Testing of hypotheses Ho : μ = 65 vs. H₁: μ≠ 65, is a .........................test.
    1. One sided left tailed test
    2. --- Content provided by FirstRanker.com ---

    3. One sided right tailed test
    4. Two tailed test
    5. None of these
  98. Student's t-test was designed by.........................
    1. R A Fisher
    2. --- Content provided by FirstRanker.com ---

    3. Wilcoxon
    4. Wald wolfowitz
    5. W S Gosset
  99. Z test was designed by .........................
    1. R A Fisher
    2. --- Content provided by FirstRanker.com ---

    3. Wilcoxon
    4. Wald wolfowitz
    5. W S Gosset
  100. Z test was designed by .........................
    1. R A Fisher
    2. --- Content provided by FirstRanker.com ---

    3. Wilcoxon
    4. Wald wolfowitz
    5. W S Gosset
  101. The range of F ratio is .........................
    1. - 1 to + 1
    2. --- Content provided by FirstRanker.com ---

    3. -∞ to ∞
    4. 0 to ∞
    5. 0 to 1
  102. While computing F ratio, customarily, the larger variance is taken as .........................
    1. Denominator
    2. --- Content provided by FirstRanker.com ---

    3. Numerator
    4. Either way
    5. None of these
  103. Chi-square test was first used by .........................
    1. R A Fisher
    2. --- Content provided by FirstRanker.com ---

    3. William Gosset
    4. James Bernoulli
    5. Karl Pearson
  104. The Chi-squre quantity ranges from ......................... to .........................
    1. - 1 to +1
    2. --- Content provided by FirstRanker.com ---

    3. -∞ to ∞
    4. 0 to ∞
    5. 0 to 1
  105. Degrees of freedom for Chi-squre test in case of contingency table of order (2x2) is:
    1. 4
    2. --- Content provided by FirstRanker.com ---

    3. 3
    4. 2
    5. 1
  106. Degrees of freedom for Chi-squre test in case of contingency table of order (4x3) is:
    1. 4
    2. --- Content provided by FirstRanker.com ---

    3. 3
    4. 6
    5. 7
  107. Degrees of freedom for Chi-squre test in case of contingency table of order (5x5) is:
    1. 25
    2. --- Content provided by FirstRanker.com ---

    3. 16
    4. 10
    5. Infinity
  108. The magnitude of the difference between observed frequencies and expected frequencies is called .........................
    1. F value
    2. --- Content provided by FirstRanker.com ---

    3. Z value
    4. t value
    5. Chi-square value
  109. When the expected frequencies and observed frequencies completely coincide, the chi-square value will be .........................
    1. + 1
    2. --- Content provided by FirstRanker.com ---

    3. -1
    4. 0
    5. None of these
  110. If the discrepancy between observed and expected frequencies are greater, ......................... will be the chi-square value.
    1. Greater
    2. --- Content provided by FirstRanker.com ---

    3. Smaller
    4. Zero
    5. None of these
  111. Calculated value of chi-square is always.........................
    1. Positive
    2. --- Content provided by FirstRanker.com ---

    3. Negative
    4. Zero
    5. None of these
  112. While applying chi-square test, the frequency in any cell should not be .........................
    1. More than 5
    2. --- Content provided by FirstRanker.com ---

    3. Less than 5
    4. More than 10
    5. Less than 10
  113. Analysis of variance utilises.........................
    1. F test
    2. --- Content provided by FirstRanker.com ---

    3. Chi square test
    4. Z test
    5. t test
  114. In one way ANOVA, the variances are:
    1. Within samples
    2. --- Content provided by FirstRanker.com ---

    3. Between samples
    4. Total
    5. All
  115. The technique of analysis of variance was developed by .........................
    1. Frank Wilcoxon
    2. --- Content provided by FirstRanker.com ---

    3. Karl Pearson
    4. R A Fisher
    5. Kolmogrov
  116. Non-parametric test is :
    1. Distribution free test
    2. --- Content provided by FirstRanker.com ---

    3. Not concerned with parameter
    4. Does not depend on the particular form of the distribution
    5. None of these
  117. .........................tests follow assumptions about population parameters.
    1. Parametric
    2. --- Content provided by FirstRanker.com ---

    3. Non-parametric
    4. One-tailed
    5. Two-tailed
  118. .........................is the simplest and most widely used non-parametric test
    1. Sign test
    2. --- Content provided by FirstRanker.com ---

    3. K-S test
    4. Chi-square tst
    5. Wilcoxon matched paired test
  119. Runs test was designed by .........................
    1. Kruskal and Wallis
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    3. Kolmogrov and Smirnov
    4. Wald wolfowitz
    5. Karl Pearson
  120. Which one of the following is a non-parametric test?
    1. F test
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    3. Z test
    4. t test
    5. Wilcoxon test
  121. Control charts are also termed as.........................
    1. Shewart charts
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    3. Process behaviour chart
    4. Both a and b
    5. None of these
  122. What type of chart will be used to plot the number of defective in the output of any process?
    1. x chart
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    3. R chart
    4. C chart
    5. P chart
  123. Process control is carried out:
    1. Before production
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    3. During production
    4. After production
    5. All of the above
  124. The dividing lines between random and non-random deviations from mean of the distribution are known as .........................
    1. Upper Control Limit
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    3. Lower Control Limit
    4. Control Limits
    5. Two sigma limit
  125. The control charts used to monitor variable is.........................
    1. Range chart
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    3. P-chart
    4. C-chart
    5. All of the above
  126. The control charts used to monitor attributes is.........................
    1. Range chart
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    3. P-chart
    4. C-chart
    5. All of the above
  127. The control charts used for the fraction of defective items in a sample is.........................
    1. Range chart
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    3. P-chart
    4. C-chart
    5. Mean chart
  128. The control charts used for the number of defects per unit is:
    1. Range chart
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    3. P-chart
    4. C-chart
    5. Mean chart
  129. .........................is user for testing goodness of fit.
    1. Wilcoxon test
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    3. Sign test
    4. K-S Test
    5. Chi-square test

  130. --- Content provided by FirstRanker.com ---

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