McqMate
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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