MCQOPTIONS
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MCQOPTIONS
This section includes 64 Mcqs, each offering curated multiple-choice questions to sharpen your Business Statistics knowledge and support exam preparation. Choose a topic below to get started.
| 51. |
For a random experiment, all the possible outcomes are called |
| A. | numerical space |
| B. | event space |
| C. | sample space |
| D. | both b and c |
| Answer» E. | |
| 52. |
The number of favorable occurrences are divided by the total number of possible occurrences to calculate |
| A. | probability of an event |
| B. | total outcomes of an event |
| C. | sample space of experiment |
| D. | none of the above |
| Answer» B. total outcomes of an event | |
| 53. |
The method of counting the outcomes in which the number of outcomes are determined without taking care of the arrangement order is classified as |
| A. | listed combinations |
| B. | union combinations |
| C. | intersection combination |
| D. | unlisted combinations |
| Answer» D. unlisted combinations | |
| 54. |
The probability of the events must lie in the limits of |
| A. | one to two |
| B. | two to three |
| C. | one to two |
| D. | zero to one |
| Answer» E. | |
| 55. |
According to combination rule, if the total number of outcomes are 'r' and distinct outcome collection is 'n' then combinations are calculated as |
| A. | n! ⁄ r!(n - r)! |
| B. | n! ⁄ r!(n + r)! |
| C. | r! ⁄ n!(n - r)! |
| D. | r! ⁄ n!(n + r)! |
| Answer» B. n! ⁄ r!(n + r)! | |
| 56. |
The approach in probability in which all outcomes from an experiment are equally likely to occur or are mutually exclusive is called |
| A. | durable approach |
| B. | permanent approach |
| C. | temporary approach |
| D. | classical approach |
| Answer» E. | |
| 57. |
If a luggage bag contains two types of shirts, 40 percent are dress shirts, 45 percent are T-shirts and 30 percent are blue jeans then the probability of selecting a dress shirt in random sample is |
| A. | 0.47 |
| B. | 0.4 |
| C. | 0.35 |
| D. | 0.3 |
| Answer» C. 0.35 | |
| 58. |
If the occurrence of one event does not affects or explains the occurrence of other event then the events are classified as |
| A. | independent events |
| B. | dependent events |
| C. | known events |
| D. | unknown events |
| Answer» B. dependent events | |
| 59. |
The conditional probability of two events Y and Z written as P(Z|Y) = P(Y and Z) ⁄ P(A) shows that the events are |
| A. | statistically dependent events |
| B. | descriptive unaffected events |
| C. | statistically independent events |
| D. | statistically unaffected events |
| Answer» B. descriptive unaffected events | |
| 60. |
The way of getting information from measuring the observation whose outcomes occurrence is on chance is called |
| A. | beta experiment |
| B. | random experiment |
| C. | alpha experiment |
| D. | gamma experiment |
| Answer» C. alpha experiment | |
| 61. |
In probability theories, the events which can never occur together are classified as |
| A. | collectively exclusive events |
| B. | mutually exhaustive events |
| C. | mutually exclusive events |
| D. | collectively exhaustive events |
| Answer» D. collectively exhaustive events | |
| 62. |
The joint probability of the independent events J and K is equal to |
| A. | P(J) * P(K) |
| B. | P(J) + P(K) |
| C. | P(J) * P(K) + P(J-K) |
| D. | P(J) * P(K) - P(J * K) |
| Answer» B. P(J) + P(K) | |
| 63. |
The probability of second event in the situation if the first event has been occurred is classified as |
| A. | series probability |
| B. | conditional probability |
| C. | joint probability |
| D. | dependent probability |
| Answer» C. joint probability | |
| 64. |
The probability which is based on the self-beliefs of the persons involved in the experiment is classified as |
| A. | subjective approach |
| B. | objective approach |
| C. | intuitive approach |
| D. | sample approach |
| Answer» B. objective approach | |