McqMate
These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Bachelor of Business Administration (BBA) , Bachelor of Commerce (B Com) .
| 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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