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. | mathematical techniques |
| B. | correlation technique |
| C. | quantitative techniques |
| D. | none of the above |
| Answer» C. quantitative techniques | |
| 2. |
Programming techniques are generally known as ................................... |
| A. | statistical techniques |
| B. | mathematical techniques |
| C. | operation research techniques |
| D. | none of these |
| Answer» B. mathematical techniques | |
| 3. |
.................................is the reverse process of differentiation |
| A. | differential equation |
| B. | integration |
| C. | determinant |
| D. | none of these |
| Answer» B. integration | |
| 4. |
.............................. is a powerful device developed over the matrix algebra. |
| A. | integration |
| B. | differentiation |
| C. | determinants |
| D. | none of these |
| Answer» C. determinants | |
| 5. |
Correlation analysis is a........................... analysis. |
| A. | univariate analysis |
| B. | bivariate analysis |
| C. | game theory |
| D. | queuing theory |
| Answer» D. queuing theory | |
| 6. |
When the values of two variables move in the same direction, correlation is said to be .......... |
| A. | positive |
| B. | negative |
| C. | linear |
| D. | non-linear |
| Answer» A. positive | |
| 7. |
When the values of two variables move in the opposite direction, correlation is said to be…… |
| A. | positive |
| B. | negative |
| C. | linear |
| D. | non-linear |
| Answer» B. negative | |
| 8. |
When the amount of change in one variable leads to a constant ratio of change in the other variable, correlation is said to be ............................ |
| A. | positive |
| B. | negative |
| C. | linear |
| D. | non-linear |
| Answer» C. linear | |
| 9. |
Scatter diagram is also called ................................... |
| A. | correlation graph |
| B. | zero correlation |
| C. | probability |
| D. | none of the above |
| Answer» B. zero correlation | |
| 10. |
If all the points of a scatter diagram lie on a straight line falling from the lower left-hand corner to the upper right-hand corner, the correlation is said to be .......................... |
| A. | zero correlation |
| B. | perfect positive correlation |
| C. | perfect negative correlation |
| D. | high degree of positive correlation |
| Answer» B. perfect positive correlation | |
| 11. |
If all the dots of a scatter diagram lie on a straight line falling from the upper left-hand corner to the lower right hand corner, the correlation is said to be .......................... |
| A. | zero correlation |
| B. | perfect positive correlation |
| C. | perfect negative correlation |
| D. | high degree of negative correlation |
| Answer» C. perfect negative correlation | |
| 12. |
The quantitative measure of correlation between two variables is known as..................... |
| A. | coefficient of correlation |
| B. | coefficient of regression |
| C. | coefficient of determination |
| D. | none of the above |
| Answer» A. coefficient of correlation | |
| 13. |
Coefficient of correlation measures ........................................... |
| A. | location |
| B. | variability |
| C. | concentration |
| D. | relation |
| Answer» D. relation | |
| 14. |
Coefficient of correlation lies between ..................................... |
| A. | 0 and 1 |
| B. | 0 and -1 |
| C. | +1 and -1 |
| D. | none of these |
| Answer» C. +1 and -1 | |
| 15. |
Karl Pearson’s coefficient of correlation is denoted by the symbol .................. |
| A. | r |
| B. | r |
| C. | k |
| D. | none of the above |
| Answer» B. r | |
| 16. |
Correlation can be ............................................ |
| A. | positive only |
| B. | negative only |
| C. | between +1 and -1 |
| D. | positive |
| Answer» C. between +1 and -1 | |
| 17. |
If r= +1, the correlation is said to be ....................... |
| A. | perfectly positive correlation |
| B. | high degree of correlation |
| C. | direction and degree |
| D. | none of the above |
| Answer» A. perfectly positive correlation | |
| 18. |
An analysis of the covariance between two or more variables is called .............................. |
| A. | regression analysis |
| B. | correlation analysis |
| C. | testing of hypothesis |
| D. | none of these |
| Answer» B. correlation analysis | |
| 19. |
In correlation analysis, P.E. = ....................0.6745 |
| A. | standard error |
| B. | probable error |
| C. | coefficient of non-determination |
| D. | coefficient of alienation |
| Answer» A. standard error | |
| 20. |
If correlation between the two variables is unity , there exists ........................................ |
| A. | perfect +ve correlation |
| B. | perfect -ve correlation |
| C. | zero correlation |
| D. | perfect correlation |
| Answer» D. perfect correlation | |
| 21. |
In correlation analysis, the formulae 1-r2 is used to compute the value of ....................... |
| A. | coefficient of determination |
| B. | coefficient of non-determination |
| C. | coefficient of correlation |
| D. | coefficient of alienation |
| Answer» B. coefficient of non-determination | |
| 22. |
Study of correlation between two sets of data only is called .............................. |
| A. | partial correlation |
| B. | simple correlation |
| C. | multiple correlation |
| D. | none of the above |
| Answer» B. simple correlation | |
| 23. |
………..is the study of correlation between one dependent variable with one independent variable by keeping the other independent variables as constant. |
| A. | multiple correlation |
| B. | simple correlation |
| C. | partial correlation |
| D. | none of the above |
| Answer» C. partial correlation | |
| 24. |
……….is the study of correlation among three or more variable simultaneously. |
| A. | multiple correlation |
| B. | partial correlation |
| C. | simple correlation |
| D. | none of the above |
| Answer» A. multiple correlation | |
| 25. |
In a correlation analysis, if r=0, then we may say that, there is ..................... between variables. |
| A. | no correlation |
| B. | perfect correlation |
| C. | linear correlation |
| D. | none of the above |
| Answer» A. no correlation | |
| 26. |
Coefficient of correlation is independent of ........................................ |
| A. | origin |
| B. | scale |
| C. | both |
| D. | none |
| Answer» C. both | |
| 27. |
When r = -1, we may say that, there is .......................... |
| A. | perfect negative correlation |
| B. | high degree of negative correlation |
| C. | 0.1 |
| D. | 2 |
| Answer» A. perfect negative correlation | |
| 28. |
If the ratio of change in one variable is equal to the ratio of change in the other variable, the correlation is said to be .................................. |
| A. | linear |
| B. | curvi-linear |
| C. | non-linear |
| D. | none of these |
| Answer» A. linear | |
| 29. |
If the plotted points of a scatter diagram fall on a narrow band, it indicates a. ............degree of correlation. |
| A. | zero |
| B. | low |
| C. | high |
| D. | none of these |
| Answer» C. high | |
| 30. |
If r =0.9, coefficient of determination is ......................... |
| A. | 9% |
| B. | 90% |
| C. | absence |
| D. | none of these |
| Answer» C. absence | |
| 31. |
If plotted points in a scatter diagram lie on a straight line vertical to the Y-axis, then r=......... |
| A. | +1 |
| B. | 0 |
| C. | -1 |
| D. | none of these |
| Answer» B. 0 | |
| 32. |
................................is the geometric mean of two regression coefficients. |
| A. | coefficient of correlation |
| B. | coefficient of standered deviation |
| C. | arithmetic mean |
| D. | coefficient of variation |
| Answer» A. coefficient of correlation | |
| 33. |
If dots in a scatter diagram are lie in a haphazard manner, then r= ....................... |
| A. | 0 |
| B. | +1 |
| C. | -1 |
| D. | none of these |
| Answer» A. 0 | |
| 34. |
Product moment correlation was developed by ....................... |
| A. | karl pearson |
| B. | charles edward spearman |
| C. | kelly |
| D. | none of these |
| Answer» A. karl pearson | |
| 35. |
Spearman’s coefficient of correlation is usually denoted by ................. |
| A. | r |
| B. | k |
| C. | r |
| D. | none of these |
| Answer» C. r | |
| 36. |
If m is the coefficient of correlation, then the value of m2 is known as ................. |
| A. | coefficient of alienation |
| B. | coefficient of determination |
| C. | coefficient of non-determiantion |
| D. | none of these |
| Answer» B. coefficient of determination | |
| 37. |
If m is the correlation coefficient, then the quantity (1-m2) is called ...................... |
| A. | coefficient of determination |
| B. | coefficient of non-determination |
| C. | coefficient of alienation |
| D. | none of these |
| Answer» B. coefficient of non-determination | |
| 38. |
The coefficient of correlation between two variables, X and Y , will have negative sign when…… |
| A. | x is increasing, y is decreasing |
| B. | x is decreasing, y is increasing |
| C. | any one of the above |
| D. | none of these |
| Answer» C. any one of the above | |
| 39. |
Coefficient of concurrent deviation depends on .......................... |
| A. | magnitude of deviation |
| B. | direction of deviation |
| C. | both a and b |
| D. | none of these |
| Answer» B. direction of deviation | |
| 40. |
............................ refers to analysis of average relationship between two variables to provide a mechanism for prediction. |
| A. | correlation |
| B. | regression |
| C. | average |
| D. | none of these |
| Answer» B. regression | |
| 41. |
The two regression lines coincide each other when r = ....................... |
| A. | 0 |
| B. | -1 |
| C. | +1 |
| D. | none of these |
| Answer» C. +1 | |
| 42. |
The two regression lines are mutually perpendicular when r = .............. |
| A. | 0 |
| B. | -1 |
| C. | +1 |
| D. | none of these |
| Answer» A. 0 | |
| 43. |
byx is the regression coefficient of regression equation ........................... |
| A. | y on x |
| B. | x on y |
| C. | 0 |
| D. | none of these |
| Answer» A. y on x | |
| 44. |
The signs of regression coefficients will be ....................... |
| A. | different |
| B. | same |
| C. | 0 |
| D. | none of these |
| Answer» B. same | |
| 45. |
The signs of correlation coefficient and regression coefficient are ............................ |
| A. | different |
| B. | same |
| C. | 0 |
| D. | none of these |
| Answer» B. same | |
| 46. |
Scatter diagram of the various values of ( X, Y) gives the idea about ....................... |
| A. | regression model |
| B. | distribution of errors |
| C. | functional relationship |
| D. | none of the above |
| Answer» C. functional relationship | |
| 47. |
If X and Y are independent , the value of regression coefficient byx = .................... |
| A. | 1 |
| B. | 0 |
| C. | greater than 1 |
| D. | any negative value |
| Answer» B. 0 | |
| 48. |
bxy x byx = .............................. |
| A. | coefficient of regression |
| B. | coefficient of regression |
| C. | both |
| D. | none |
| Answer» C. both | |
| 49. |
If X and Y are two variables, there can be at most .......................... |
| A. | three regression lines |
| B. | two regression lines |
| C. | one regression line |
| D. | infinite number of regression lines |
| Answer» B. two regression lines | |
| 50. |
Geometric mean of regression coefficients will be .............................. |
| A. | coefficient of correlation |
| B. | coefficient of determination |
| C. | coefficient of variation |
| D. | none of these |
| Answer» A. coefficient of correlation | |
| 51. |
In a regression line of Y on X, the variable X is known as .................................. |
| A. | explanatory variable |
| B. | independent variable |
| C. | regressor |
| D. | all the above |
| Answer» D. all the above | |
| 52. |
The term regression was used firstly by ............................. |
| A. | prof. karl pearson |
| B. | edward spearman |
| C. | 0 |
| D. | none of these |
| Answer» C. 0 | |
| 53. |
If a constant 30 is subtracted from each of the value of X and Y , the regression coefficient is .......................... |
| A. | reduced by 30 |
| B. | increased by 30 |
| C. | not changed |
| D. | 1/30th of the original regression |
| Answer» C. not changed | |
| 54. |
In .........................regression, only one independent variable is used to explain the dependent variable. |
| A. | linear |
| B. | multiple |
| C. | scatter diagram |
| D. | none of these |
| Answer» A. linear | |
| 55. |
Regression lines are also called ......................... |
| A. | correlation graph |
| B. | scatter diagram |
| C. | scatter diagram |
| D. | none of these |
| Answer» C. scatter diagram | |
| 56. |
If the correlation between the two variables , X and Y is negative, the regression coefficient of Y on X is ............................. |
| A. | zero |
| B. | positive |
| C. | negative |
| D. | not certain |
| Answer» C. negative | |
| 57. |
The arithmetic mean of bxy and byx is .......................... |
| A. | equal to one |
| B. | greater than r |
| C. | francis galton |
| D. | none of these |
| Answer» B. greater than r | |
| 58. |
The regression coefficient and correlation coefficient of two variables will be the same, if their .................... are same. |
| A. | standard deviation |
| B. | arithmetic mean |
| C. | mean deviation |
| D. | none of these |
| Answer» A. standard deviation | |
| 59. |
If the sign of regression coefficient bxy is negative, then the sign of regression coefficient byx will be ........................ |
| A. | positive |
| B. | negative |
| C. | 0 |
| D. | none of these |
| Answer» B. negative | |
| 60. |
The square root of coefficient of determination is ................... |
| A. | coefficient of correlation |
| B. | coefficient of regression |
| C. | coefficient of variation |
| D. | none of these |
| Answer» A. coefficient of correlation | |
| 61. |
While analysing the relationship between variables, independent variable is also called.................................. |
| A. | explained variable |
| B. | explanatory variable |
| C. | variable |
| D. | none of these |
| Answer» B. explanatory variable | |
| 62. |
Dependent variable is also called ............................ |
| A. | explained variable |
| B. | explanatory variable |
| C. | 4.0 |
| D. | 0.4 |
| Answer» A. explained variable | |
| 63. |
If one regression coefficient is positive, the other is ....................... |
| A. | positive |
| B. | negative |
| C. | zero |
| D. | 1 |
| Answer» A. positive | |
| 64. |
The arithmetic mean of bxy and byx is ............................. |
| A. | equal to 1 |
| B. | equal to 0 |
| C. | greater than r |
| D. | less than r |
| Answer» C. greater than r | |
| 65. |
.............................. refers to the chance of happening or not happening of an event. |
| A. | regression |
| B. | probability |
| C. | correlation |
| D. | none of these |
| Answer» B. probability | |
| 66. |
The numerical value given to the likelyhood of the occurrence of an event is called................ |
| A. | correlation |
| B. | regression |
| C. | probability |
| D. | none of these |
| Answer» C. probability | |
| 67. |
Sample point is also called ......................... |
| A. | sample space |
| B. | elementary outcome |
| C. | probability |
| D. | none of these |
| Answer» B. elementary outcome | |
| 68. |
The result of a random experiment is called ................................. |
| A. | sample space |
| B. | event |
| C. | probability |
| D. | none of these |
| Answer» B. event | |
| 69. |
............................ has two or more outcomes which vary in an unpredictable manner from trial to trial when conducted under uniform conditions. |
| A. | experiment |
| B. | random experiment |
| C. | probability |
| D. | none of these |
| Answer» B. random experiment | |
| 70. |
An event whose occurrence is inevitable is called ...................................... |
| A. | sure event |
| B. | impossible event |
| C. | uncertain event |
| D. | none of these |
| Answer» A. sure event | |
| 71. |
An event whose occurrence is impossible, is called ...................... |
| A. | sure event |
| B. | impossible event |
| C. | uncertain event |
| D. | none of these |
| Answer» A. sure event | |
| 72. |
An event whose occurrence is neither sure nor impossible, is called ........................... |
| A. | sure event |
| B. | impossible event |
| C. | uncertain event |
| D. | none of these |
| Answer» C. uncertain event | |
| 73. |
A set of events are said to be ...................... , if the occurrence of one of them excludes the possibility of the occurrence of the other. |
| A. | mutually exclusive |
| B. | not mutually exclusive |
| C. | independent |
| D. | none of them |
| Answer» A. mutually exclusive | |
| 74. |
....................... refers to the arrangement of objects in a definite order. |
| A. | combination |
| B. | permutation |
| C. | independent |
| D. | none of them |
| Answer» B. permutation | |
| 75. |
Selection of objects without considering their order is called ................................... |
| A. | combination |
| B. | permutation 94. 12c12 = ................ |
| C. | independent |
| D. | none of them |
| Answer» A. combination | |
| 76. |
Classical probability is also called ......................... |
| A. | priori probability |
| B. | mathematical probability |
| C. | finite set |
| D. | none of these |
| Answer» D. none of these | |
| 77. |
The relative frequency approach is also called ................................ |
| A. | empirical approach |
| B. | statistical probability |
| C. | apsteriori probability |
| D. | all the above |
| Answer» D. all the above | |
| 78. |
When P(AUB) = P(A) + P(B), then A and B are ............................. |
| A. | dependent |
| B. | independent |
| C. | mutually exclusive |
| D. | none of these |
| Answer» C. mutually exclusive | |
| 79. |
When two events cannot occur together is called ........................ |
| A. | equally likely |
| B. | mutually exclusive |
| C. | random events |
| D. | none of these |
| Answer» B. mutually exclusive | |
| 80. |
If two sets have no common element, they are called .................... |
| A. | subset |
| B. | super set |
| C. | disjoint set |
| D. | equal set |
| Answer» C. disjoint set | |
| 81. |
Two events are said to be ..................... , if any one of them cannot be expected to occur in preference to the other. |
| A. | equally likely |
| B. | mutually exclusive |
| C. | dependent |
| D. | none of them |
| Answer» A. equally likely | |
| 82. |
Two events are said to be independent if ........................ |
| A. | there is no common point in between them |
| B. | both the events have only one point |
| C. | each outcome has equal chance of occurrence |
| D. | one does not affect the occurrence of the other |
| Answer» D. one does not affect the occurrence of the other | |
| 83. |
Probability of an event lies between ................................ |
| A. | +1 and -1 |
| B. | 0 and 1 |
| C. | 0 and -1 |
| D. | 0 and infinite |
| Answer» B. 0 and 1 | |
| 84. |
Probability of sample space of a random experiment is ............................ |
| A. | -1 |
| B. | 0 |
| C. | +1 |
| D. | between 0 and +1 |
| Answer» C. +1 | |
| 85. |
In tossing a coin , getting head and getting tail are ............................................ |
| A. | mutually exclusive events |
| B. | simple events |
| C. | complementary events |
| D. | all the above |
| Answer» A. mutually exclusive events | |
| 86. |
If two events, A and B are mutually exclusive, then P(AUB) = ......................... |
| A. | p(a) + p(b) |
| B. | p(a) + p(b) - p(a and b) |
| C. | p(a) + p(b) + p(a and b) |
| D. | none of these |
| Answer» A. p(a) + p(b) | |
| 87. |
If two events, A and B are not mutually exclusive, the P(AUB) = .................. |
| A. | p(a) + p(b) |
| B. | p(a) + p(b) - p(a and b) |
| C. | p(a) + p(b) + p(a and b) |
| D. | none of these |
| Answer» B. p(a) + p(b) - p(a and b) | |
| 88. |
An event consisting of those elements which are not in the given event is called............. |
| A. | simple event |
| B. | derived event |
| C. | complementary event |
| D. | none of these |
| Answer» C. complementary event | |
| 89. |
The definition of priori probability was originally given by ............................ |
| A. | de-moivre |
| B. | laplace |
| C. | pierre de fermat |
| D. | james bernoulli |
| Answer» B. laplace | |
| 90. |
........................ refers to the totality of all the elementary outcomes of a random experiment. |
| A. | sample point |
| B. | sample space |
| C. | simple event |
| D. | none of these |
| Answer» B. sample space | |
| 91. |
The sum of probabilities of all possible elementary outcomes of a random experiment is always equal to ................... |
| A. | 0 |
| B. | 1 |
| C. | infinity |
| D. | none of these |
| Answer» B. 1 | |
| 92. |
Chance for an event may be expressed as ................. |
| A. | percentage |
| B. | proportion |
| C. | infinity |
| D. | none of these |
| Answer» D. none of these | |
| 93. |
If it is known that an event A has occurred, the probability of an event B given A is called ............................ |
| A. | empirical probability |
| B. | conditional probability |
| C. | priori probability |
| D. | posterior probability |
| Answer» B. conditional probability | |
| 94. |
The mean of a binomial distribution is ........................... |
| A. | np |
| B. | npq |
| C. | square root of npq |
| D. | none of these |
| Answer» A. np | |
| 95. |
Binomial distribution is a ................................ probability distribution |
| A. | discrete |
| B. | continuous |
| C. | continuous distribution |
| D. | none of these |
| Answer» A. discrete | |
| 96. |
Binomial distribution is originated by .................................. |
| A. | prof. karl pearson |
| B. | simeon dennis poisson |
| C. | james bernoulli |
| D. | de-moivre |
| Answer» C. james bernoulli | |
| 97. |
When probability is revised on the basis of all the available information, it is called ............. |
| A. | priori probability |
| B. | posterior probability |
| C. | continuous |
| D. | none of these |
| Answer» B. posterior probability | |
| 98. |
Baye’s theorem is based upon inverse probability. |
| A. | yes |
| B. | no |
| C. | probability |
| D. | none of these |
| Answer» A. yes | |
| 99. |
Probability distribution is also called theoretical distribution. |
| A. | yes |
| B. | no |
| C. | probability |
| D. | none of these |
| Answer» A. yes | |
| 100. |
The height of persons in a country is a .......................... random variable. |
| A. | discrete |
| B. | continuous |
| C. | discrete as well as continuous |
| D. | neither discrete nor continuous |
| Answer» B. continuous | |
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