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) .
| 101. |
Random variable is also called .............................. |
| A. | stochastic variable |
| B. | chance variable |
| C. | both |
| D. | none of these |
| Answer» C. both | |
| 102. |
If the random variable of a probability distribution assumes specific values only, then it is called ............................... |
| A. | discrete probability distribution |
| B. | continuous probability distribution |
| C. | probability distribution |
| D. | none of these |
| Answer» A. discrete probability distribution | |
| 103. |
npq is the variance of .................................... |
| A. | binomial distribution |
| B. | poisson distribution |
| C. | probability distribution |
| D. | none of these |
| Answer» A. binomial distribution | |
| 104. |
For a binomial distribution with probability p of a success and of q of a failure, the relation between mean and variance is ............................. |
| A. | mean is less than variance |
| B. | mean is greater than variance |
| C. | mean is equal to variance |
| D. | mean is greater than or equal to variance |
| Answer» B. mean is greater than variance | |
| 105. |
In a binomial distribution, if n =8 and p = 1/3, then variance = ........................ |
| A. | 8/3 |
| B. | 48/3 |
| C. | 64/3 |
| D. | 16/9 |
| Answer» D. 16/9 | |
| 106. |
In a .............................. distribution, mean is equal to variance |
| A. | binomial |
| B. | poisson |
| C. | normal |
| D. | gamma |
| Answer» B. poisson | |
| 107. |
For a binomial distribution, the parameter n takes ...................... values |
| A. | finite |
| B. | infinite |
| C. | continuous |
| D. | none of these |
| Answer» A. finite | |
| 108. |
Poisson distribution is the limiting form of ............................... |
| A. | binomial distribution |
| B. | normal distribution |
| C. | poisson |
| D. | none of these |
| Answer» A. binomial distribution | |
| 109. |
Poisson distribution is originated by .......................... |
| A. | de-moivre |
| B. | bernoulli |
| C. | poisson |
| D. | none of these |
| Answer» C. poisson | |
| 110. |
In Poisson distribution, mean is denoted by ........................ |
| A. | npq |
| B. | np |
| C. | m |
| D. | e |
| Answer» C. m | |
| 111. |
Poisson distribution is a ........................... distribution. |
| A. | negatively skewed distribution |
| B. | positively skewed distribution |
| C. | symmetrical distribution |
| D. | none of these |
| Answer» B. positively skewed distribution | |
| 112. |
In Poisson distribution, the value of ‘e’ = .......................... |
| A. | 2.178 |
| B. | 2.817 |
| C. | 2.718 |
| D. | 2.871 |
| Answer» C. 2.718 | |
| 113. |
Mean and variance of Poisson distribution is equal to ............................... |
| A. | m |
| B. | e |
| C. | np |
| D. | npq |
| Answer» A. m | |
| 114. |
If two independent random variables follow binomial distribution, their sum follows.............. |
| A. | binomial distribution |
| B. | poisson distribution |
| C. | normal distribution |
| D. | none of these |
| Answer» A. binomial distribution | |
| 115. |
When X follows binomial distribution, P(X=0) is......................... |
| A. | 0 |
| B. | 1 |
| C. | qn |
| D. | pn |
| Answer» C. qn | |
| 116. |
Normal distribution was first discovered by ................................... in 1733 as limiting form of binomial distribution. |
| A. | karl pearson |
| B. | james bernoulli |
| C. | de-moivre |
| D. | simeon denis poisson |
| Answer» C. de-moivre | |
| 117. |
Normal distribution is a........................... probability distribution. |
| A. | discrete |
| B. | continuous |
| C. | poisson |
| D. | none of these |
| Answer» B. continuous | |
| 118. |
...........................distribution gives a normal bell shaped curve. |
| A. | normal |
| B. | poisson |
| C. | binomial |
| D. | none of these |
| Answer» A. normal | |
| 119. |
The normal curve is ................................. |
| A. | bi-model |
| B. | uni-model |
| C. | mean |
| D. | none of these |
| Answer» B. uni-model | |
| 120. |
Normal distribution is ...................... |
| A. | continuous |
| B. | unimodal |
| C. | normal |
| D. | none of these |
| Answer» D. none of these | |
| 121. |
For a normal curve , the QD, MD, and SD are in the ratio of .............................. |
| A. | 5:8:10 |
| B. | 10:12:15 |
| C. | 2:3:5 |
| D. | none of these |
| Answer» B. 10:12:15 | |
| 122. |
An approximate relation between QD and SD of normal distribution is ............... |
| A. | 2qd = 3sd |
| B. | 5qd = 4sd |
| C. | 4qd = 5sd |
| D. | 3qd = 2sd |
| Answer» D. 3qd = 2sd | |
| 123. |
An approximate relation between MD about mean and SD of a normal distribution is ............................ |
| A. | 5md = 4 sd |
| B. | 3md = 3 sd |
| C. | 3md = 2 sd |
| D. | 4md = 5 sd |
| Answer» A. 5md = 4 sd | |
| 124. |
The area under the standard normal curve beyond the line z = ±1.96 is ............................... |
| A. | 5% |
| B. | 10% |
| C. | 90% |
| D. | 95% |
| Answer» A. 5% | |
| 125. |
Normal distribution is ................................ |
| A. | mesokurtic |
| B. | leptokurtic |
| C. | more than 0 |
| D. | in between +1 and -1 |
| Answer» A. mesokurtic | |
| 126. |
Mean Deviation (M.D) for normal distribution is equal to ...................... |
| A. | 5/4 s.d. |
| B. | 3/2 s.d. |
| C. | 4/5 s |
| Answer» C. 4/5 s | |
| 127. |
In a ......................... distribution, quartiles are equi-distant from median. |
| A. | binomial |
| B. | poisson |
| C. | normal |
| D. | none of these |
| Answer» C. normal | |
| 128. |
A normal distribution requires two parameters, namely the mean and .............. |
| A. | median |
| B. | mode |
| C. | standard deviation± |
| D. | mean deviation |
| Answer» C. standard deviation± | |
| 129. |
A normal distribution is an approximation to .............................. |
| A. | binomial distribution |
| B. | poisson distribution |
| C. | poisson |
| D. | none of these |
| Answer» A. binomial distribution | |
| 130. |
Mean ± 2 S.D. covers .............. % area of normal curve. |
| A. | 68.27 |
| B. | 95.45 |
| C. | 95.54 |
| D. | 98.73 |
| Answer» B. 95.45 | |
| 131. |
Theoretically, the range of normal curve is ................................................ |
| A. | -1 to +1 |
| B. | +1 to infinity |
| C. | –infinity to +infinity |
| D. | none of these |
| Answer» C. –infinity to +infinity | |
| 132. |
Standard deviation of the sampling distribution is called ............................ |
| A. | probable error |
| B. | standard error |
| C. | mean deviation |
| D. | coefficient of variation |
| Answer» B. standard error | |
| 133. |
Index numbers are |
| A. | special type of average |
| B. | measure the economic changes |
| C. | to measure relative changes |
| D. | all of these |
| Answer» D. all of these | |
| 134. |
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 | |
| 135. |
............................. is the reverse process of differentiation |
| A. | Differential equation |
| B. | Integration |
| C. | Determinant |
| D. | None of these |
| Answer» B. Integration | |
| 136. |
...............................is an operation research technique which resembles a real life situation. |
| A. | Decision theory |
| B. | Simulation |
| C. | Game theory |
| D. | Queuing theory |
| Answer» B. Simulation | |
| 137. |
C.P.M. stands for.......................................................... |
| A. | Critical Process Method |
| B. | Critical Performance Measurement |
| C. | Critical Path Method |
| D. | Critical Programme Method |
| Answer» C. Critical Path Method | |
| 138. |
The word correlation usually implies............................. |
| A. | Cause and effect relationship |
| B. | Mutual interdependence |
| C. | Both |
| D. | None of the above |
| Answer» C. Both | |
| 139. |
Correlation analysis is a ............................analysis. |
| A. | Univariate analysis |
| B. | Bivariate analysis |
| C. | Multivariate analysis |
| D. | Both b and c |
| Answer» D. Both b and c | |
| 140. |
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 | |
| 141. |
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 | |
| 142. |
A _________ is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. |
| A. | Decision tree |
| B. | Graphs |
| C. | Trees |
| D. | Neural Networks |
| Answer» A. Decision tree | |
| 143. |
What is Decision Tree? |
| A. | Flow-Chart |
| B. | Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label |
| C. | Flow-Chart & Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label |
| D. | None of the mentioned |
| Answer» C. Flow-Chart & Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label | |
| 144. |
Choose from the following that are Decision Tree nodes? |
| A. | Decision Nodes |
| B. | End Nodes |
| C. | Chance Nodes |
| D. | All of the above |
| Answer» D. All of the above | |
| 145. |
Decision Nodes are represented by ------ |
| A. | Disks |
| B. | Squares |
| C. | Circles |
| D. | Triangles |
| Answer» B. Squares | |
| 146. |
Chance Nodes are represented by __________ |
| A. | Disks |
| B. | Squares |
| C. | Circles |
| D. | Triangles |
| Answer» C. Circles | |
| 147. |
Which of the following are the advantage/s of Decision Trees? |
| A. | Possible Scenarios can be added |
| B. | Use a white box model, If given result is provided by a model |
| C. | Worst, best and expected values can be determined for different scenarios |
| D. | All of the above |
| Answer» D. All of the above | |
| 148. |
----- are the whose values are to be determined from the solution of the LPP |
| A. | Objective function |
| B. | Decision variables |
| C. | Constrains |
| D. | Opportunity cost |
| Answer» B. Decision variables | |
| 149. |
------------ specifies the objective or goal of solving the LPP |
| A. | Objective function |
| B. | Decision variables |
| C. | Constraints |
| D. | Opportunity cost |
| Answer» A. Objective function | |
| 150. |
Objective function is expressed in terms of the -------------- |
| A. | Numbers |
| B. | Symbols |
| C. | Decision variables |
| D. | None of the above |
| Answer» C. Decision variables | |
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