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# Test: Probability And Expected Value By Mathematical Expectation- 1

## 40 Questions MCQ Test Quantitative Aptitude for CA CPT | Test: Probability And Expected Value By Mathematical Expectation- 1

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This mock test of Test: Probability And Expected Value By Mathematical Expectation- 1 for CA Foundation helps you for every CA Foundation entrance exam. This contains 40 Multiple Choice Questions for CA Foundation Test: Probability And Expected Value By Mathematical Expectation- 1 (mcq) to study with solutions a complete question bank. The solved questions answers in this Test: Probability And Expected Value By Mathematical Expectation- 1 quiz give you a good mix of easy questions and tough questions. CA Foundation students definitely take this Test: Probability And Expected Value By Mathematical Expectation- 1 exercise for a better result in the exam. You can find other Test: Probability And Expected Value By Mathematical Expectation- 1 extra questions, long questions & short questions for CA Foundation on EduRev as well by searching above.
QUESTION: 1

### Initially, probability was a branch of

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Probability theory is the branch of Mathematics concerned with analysis of random phenomena.

QUESTION: 2

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QUESTION: 3

### Subjective probability may be used in

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QUESTION: 4

An experiment is known to be random if the results of the experiment

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QUESTION: 5

An event that can be split into further events is known as

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QUESTION: 6

Which of the following pairs of events are mutually exclusive?

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QUESTION: 7

If P(A) = P(B), then

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QUESTION: 8

If P(A ∩ B) = 0, then the two events A and B are

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QUESTION: 9

If for two events A and B, P(AUB) = 1, then A and B are

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QUESTION: 10

If an unbiased coin is tossed once, then the two events Head and Tail are

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QUESTION: 11

If P(A) = P(B), then the two events A and B are

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QUESTION: 12

If for two events A and B, P(A ∩ B) ≠ P(A) × P(B), then the two events A and B are

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QUESTION: 13

If P(A/B) = P(A), then

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QUESTION: 14

If two events A and B are independent, then

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QUESTION: 15

If two events A and B are independent, then

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QUESTION: 16

If two events A and B are mutually exclusive, then

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QUESTION: 17

If a coin is tossed twice, then the events 'occurrence of one head', 'occurrence of 2 heads' and 'occurrence of no head' are

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QUESTION: 18

The probability of an event can assume any value between

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QUESTION: 19

If P(A) = 0, then the event A

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QUESTION: 20

If P(A) = 1, then the event A is known as

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QUESTION: 21

If p : q are the odds in favour of an event, then the probability of that event is

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QUESTION: 22

If P(A) = 5/9, then the odds against the event A is

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QUESTION: 23

If A, B and C are mutually exclusive and exhaustive events, then P(A) + P(B) + P(C) equals to

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QUESTION: 24

If A denotes that a student reads in a school and B denotes that he plays cricket, then

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QUESTION: 25

P(B/A) is defined only when

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QUESTION: 26

P(A/B') is defined only when

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QUESTION: 27

For two events A and B, P(A ∪ B) = P(A) + P(A) only when

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QUESTION: 28

Addition Theorem of Probability states that for any two events A and B,

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QUESTION: 29

For any two events A and B,

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QUESTION: 30

For any two events A and B,

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QUESTION: 31

The limitations of the classical definition of probability

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QUESTION: 32

According to the statistical definition of probability, the probability of an event A is the

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QUESTION: 33

The Theorem of Compound Probability states that for any two events A and B.

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Explanation : If two events, A and B, are mutually exclusive, then the probability that either A or B occurs is the sum of their probabilities.

For mutually inclusive events, P (A or B) = P(A) + P(B) -  P(A and B).

QUESTION: 34

If A and B are mutually exclusive events, then

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QUESTION: 35

If P(A–B) = P(B–A), then the two events A and B satisfy the condition

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QUESTION: 36

The number of conditions to be satisfied by three events A, B and C for independence is

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QUESTION: 37

If two events A and B are independent, then P(A ∩ B)

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QUESTION: 38

Values of a random variable are

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QUESTION: 39

Expected value of a random variable

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QUESTION: 40

If all the values taken by a random variable are equal then

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