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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 |

Answer» C. Quantitative techniques |

2. |
## Correlation analysis is a .............................. |

A. | Univariate analysis |

B. | Bivariate analysis |

C. | Multivariate analysis |

D. | Both b and c |

Answer» 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 |

Answer» A. Correlated |

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 |

Answer» C. Positive |

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 |

Answer» 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 |

Answer» A. Linear |

7. |
## ...........................attempts to determine the degree of relationship between variables. |

A. | Regression analysis |

B. | Correlation analysis |

C. | Inferential analysis |

D. | None of these |

Answer» B. Correlation analysis |

8. |
## Non-linear correlation is also called..................................... |

A. | Non-curvy linear correlation |

B. | Curvy linear correlation |

C. | Zero correlation |

D. | None of these |

Answer» B. Curvy linear correlation |

9. |
## Scatter diagram is also called ...................... |

A. | Dot chart |

B. | Correlation graph |

C. | Both a and b |

D. | None of these |

Answer» A. Dot chart |

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 |

Answer» C. Perfect negative 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 |

Answer» 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 |

Answer» A. Coefficient of correlation |

13. |
## Coefficient of correlation explains: |

A. | Concentration |

B. | Relation |

C. | Dispersion |

D. | Asymmetry |

Answer» B. Relation |

14. |
## Coefficient of correlation lies between: |

A. | 0 and +1 |

B. | 0 and –1 |

C. | –1 and +1 |

D. | – 3 and +3 |

Answer» C. –1 and +1 |

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 |

Answer» 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 |

Answer» A. Linear |

17. |
## Pearsonian correlation coefficient if denoted by the symbol ............... |

A. | K |

B. | r |

C. | R |

D. | None of these |

Answer» C. R |

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 |

Answer» C. 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 |

Answer» B. High |

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 |

Answer» A. 0 |

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 |

Answer» 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 |

Answer» A. 0 |

23. |
## The unit of Coefficient of correlation is ........................ |

A. | Percentage |

B. | Ratio |

C. | Same unit of the data |

D. | No unit |

Answer» D. No unit |

24. |
## Product moment correlation method is also called ........................ |

A. | Rank correlation |

B. | Pearsonian correlation |

C. | Concurrent deviation |

D. | None of these |

Answer» B. Pearsonian correlation |

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 |

Answer» C. Any of the above |

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 |

Answer» C. Both of the above |

27. |
## For perfect correlation, the coefficient of correlation should be .......................... |

A. | ± 1 |

B. | + 1 |

C. | – 1 |

D. | 0 |

Answer» A. ± 1 |

28. |
## Rank correlation coefficient was discovered by.................................... |

A. | Fisher |

B. | Spearman |

C. | Karl Pearson |

D. | Bowley |

Answer» B. Spearman |

29. |
## The rank correlation coefficient is always............................ |

A. | + 1 |

B. | – 1 |

C. | 0 |

D. | Between + 1 and – 1 |

Answer» D. Between + 1 and – 1 |

30. |
## Spearman’s Rank Correlation Coefficient is usually denoted by.................... |

A. | K |

B. | r |

C. | S |

D. | R |

Answer» 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 |

Answer» A. Test the reliability of correlation coefficient |

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 |

Answer» C. 6 times |

33. |
## In correlation analysis, Probable Error = ........................ x 0.6745 |

A. | Standard deviation |

B. | Standard error |

C. | Coefficient of correlation |

D. | None of these |

Answer» B. Standard error |

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 |

Answer» A. The signs of the deviations |

35. |
## Correlation analysis between two sets of data only is called.................... |

A. | Partial correlation |

B. | Multiple correlation |

C. | Nonsense correlation |

D. | Simple correlation |

Answer» 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 |

Answer» A. Partial 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 |

Answer» B. Multiple correlation |

38. |
## If r = 0.8, coefficient of determination is..................................... |

A. | 80% |

B. | 8% |

C. | 64% |

D. | 0.8% |

Answer» C. 64% |

39. |
## If r is the simple correlation coefficient, the quantity r2 is known as ................... |

A. | Coefficient of determination |

B. | Coefficient of non-determination |

C. | Coefficient of alienation |

D. | None of these |

Answer» A. Coefficient of determination |

40. |
## If r is the simple correlation coefficient, the quantity 1 -- r2 is known as ................... |

A. | Coefficient of determination |

B. | Coefficient of non-determination |

C. | Coefficient of alienation |

D. | None of these |

Answer» B. Coefficient of non-determination |

41. |
## The term regression was first used by.......................... |

A. | Karl Pearson |

B. | Spearman |

C. | R A Fisher |

D. | Francis Galton |

Answer» 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 |

Answer» B. Regression |

43. |
## If there are two variables, there can be at most ........................ number of regression lines. |

A. | One |

B. | Two |

C. | Three |

D. | Infinite |

Answer» B. Two |

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 |

Answer» 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 |

Answer» 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 |

Answer» C. Both a and b |

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 |

Answer» A. Dependent variable |

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 |

Answer» B. Independent variable |

49. |
## The point of intersection of two regression lines is.......................... |

A. | (0,0) |

B. | (1,1) |

C. | (x,y) |

D. | (x̄ , ӯ) |

Answer» D. (x̄ , ӯ) |

50. |
## If r = ± 1, the two regression lines are............................... |

A. | Coincident |

B. | Parallel |

C. | Perpendicular to each other |

D. | None of these |

Answer» A. Coincident |

51. |
## If r = 1, the angle between the two regression lines is......................... |

A. | Ninety degree |

B. | Thirty degree |

C. | Zero degree |

D. | Sixty degree |

Answer» C. Zero degree |

52. |
## If r = 0, the two regression lines are: |

A. | Coincident |

B. | Parallel |

C. | Perpendicular to each other |

D. | None of these |

Answer» C. Perpendicular to each other |

53. |
## If bxy and byx are two regression coefficients, they have: |

A. | Same signs |

B. | Opposite signs |

C. | Either a or b |

D. | None of the above. |

Answer» A. Same signs |

54. |
## If byx > 1, then bxy is: |

A. | Greater than one |

B. | Less than one |

C. | Equal to one |

D. | Equal to zero |

Answer» B. Less than one |

55. |
## If X and Y are independent, the value of byx is equal to ........................ |

A. | Zero |

B. | One |

C. | Infinity |

D. | Any positive value |

Answer» A. Zero |

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 |

Answer» C. Signature property |

57. |
## The property that byx > 1 implies that bxy < 1 is known as ..................... |

A. | Fundamental property |

B. | Magnitude property |

C. | Signature property |

D. | None of these |

Answer» B. Magnitude property |

58. |
## If X and Y are independent, the property byx = bxy = 0 is called ................... |

A. | Fundamental property |

B. | Magnitude property |

C. | Mean property |

D. | Independence property |

Answer» 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 |

Answer» B. Geometric mean |

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 |

Answer» B. Negative |

61. |
## The G M of two regression coefficients byx and bxy is equal to .......................... |

A. | R |

B. | r2 |

C. | 1 – r2 |

D. | None of these |

Answer» A. R |

62. |
## If one regression coefficient is negative, the other is ............................... |

A. | 0 |

B. | – ve |

C. | +ve |

D. | Either a or b |

Answer» B. – ve |

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 |

Answer» B. Greater than correlation coefficient |

64. |
## byx 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 |

Answer» A. Y on X |

65. |
## bxy 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 |

Answer» B. X on Y |

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 |

Answer» C. Linear |

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 |

Answer» B. Standard 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 |

Answer» B. J Neyman |

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. |

Answer» C. A rule for accepting or rejecting hypothesis |

70. |
## Testing of hypothesis and ......................are the two branches of statistical inference. |

A. | Statistical analysis |

B. | Probability |

C. | Correlation analysis |

D. | Estimation |

Answer» D. Estimation |

71. |
## ......................... is the original hypothesis |

A. | Null hypothesis |

B. | Alternative hypothesis |

C. | Either a or b |

D. | None of these |

Answer» A. Null hypothesis |

72. |
## A null hypothesis is denoted by........................... |

A. | H0 |

B. | H1 |

C. | NH |

D. | None of these |

Answer» A. H0 |

73. |
## An alternative hypothesis is denoted by........................... |

A. | H0 |

B. | H1 |

C. | AH |

D. | None of these |

Answer» B. H1 |

74. |
## Whether a test is one sided or two sided, depends on........................ |

A. | Simple hypothesis |

B. | Composite hypothesis |

C. | Null hypothesis |

D. | Alternative hypothesis |

Answer» 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 |

Answer» B. Two 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 |

Answer» B. Type II error |

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 |

Answer» A. Type I error |

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 |

Answer» B. Type II error |

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 |

Answer» C. Accepting a wrong hypothesis |

80. |
## Type I error is denoted by........................... |

A. | Alpha |

B. | Beta |

C. | Gamma |

D. | None of these |

Answer» A. Alpha |

81. |
## Type II error is denoted by.................................... |

A. | Alpha |

B. | Beta |

C. | Gamma |

D. | None of these |

Answer» B. Beta |

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, |

Answer» C. Level of confidence |

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 |

Answer» B. Level of significance |

84. |
## 1 – Level of confidence =............................. |

A. | Level of significance |

B. | Degree of freedom |

C. | Either a or b |

D. | None of these |

Answer» A. Level of significance |

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% |

Answer» C. 5% |

86. |
## ...............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 |

Answer» B. Degree of freedom |

87. |
## Total number of observations – number of constraints =...................... |

A. | Level of significance |

B. | Degree of freedom |

C. | Level of confidence |

D. | Sample size |

Answer» B. Degree of freedom |

88. |
## Accepting a null hypothesis when it is false is called................................ |

A. | Type I error |

B. | Type II error |

C. | Probable error |

D. | Standard error |

Answer» B. Type II error |

89. |
## Accepting a null hypothesis when it is true is called................................ |

A. | Type I error |

B. | Type II error |

C. | Probable error |

D. | No error |

Answer» D. No error |

90. |
## When sample is small,....................... test is applied. |

A. | t-test |

B. | Z test |

C. | F test |

D. | None of these |

Answer» A. t-test |

91. |
## 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 |

Answer» B. Z- test |

92. |
## Student’s 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 |

Answer» D. All the above |

93. |
## Testing of hypotheses Ho : μ = 45 vs. H1 : μ > 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 |

Answer» B. Z test |

94. |
## Testing of hypotheses Ho : μ = 85 vs. H1 : μ > 85, is a ...................test. |

A. | One sided left tailed test |

B. | One sided right tailed test |

C. | Two tailed test |

D. | None of these |

Answer» B. One sided right tailed test |

95. |
## Testing of hypotheses Ho : μ = 65 vs. H1 : μ < 65, is a ...................test. |

A. | One sided left tailed test |

B. | One sided right tailed test |

C. | Two tailed test |

D. | None of these |

Answer» A. One sided left tailed test |

96. |
## Testing of hypotheses Ho : μ = 65 vs. H1 : μ ≠ 65, is a ...................test. |

A. | One sided left tailed test |

B. | One sided right tailed test |

C. | Two tailed test |

D. | None of these |

Answer» C. Two tailed test |

97. |
## Student’s t-test was designed by ............................ |

A. | R A Fisher |

B. | Wilcoxon |

C. | Wald wolfowitz |

D. | W S Gosset |

Answer» D. W S Gosset |

98. |
## Z test was designed by ........................................ |

A. | R A Fisher |

B. | Wilcoxon |

C. | Wald wolfowitz |

D. | W S Gosset |

Answer» A. R A Fisher |

99. |
## Z test was designed by ....................................... |

A. | R A Fisher |

B. | Wilcoxon |

C. | Wald wolfowitz |

D. | W S Gosset |

Answer» A. R A Fisher |

100. |
## The range of F ratio is ........................................ |

A. | – 1 to + 1 |

B. | – ∞ to ∞ |

C. | 0 to ∞ |

D. | 0 to 1 |

Answer» C. 0 to ∞ |

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