McqMate

45

34.6k

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 |

Done Reading?

Tags

Question and answers in
Quantitative Techniques for Business,
Quantitative Techniques for Business
multiple choice questions and answers,
Quantitative Techniques for Business
Important MCQs,
Solved MCQs for
Quantitative Techniques for Business,
Quantitative Techniques for Business
MCQs with answers PDF download