Test: Probability And Expected Value By Mathematical Expectation- 4


40 Questions MCQ Test Quantitative Aptitude for CA CPT | Test: Probability And Expected Value By Mathematical Expectation- 4


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This mock test of Test: Probability And Expected Value By Mathematical Expectation- 4 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- 4 (mcq) to study with solutions a complete question bank. The solved questions answers in this Test: Probability And Expected Value By Mathematical Expectation- 4 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- 4 exercise for a better result in the exam. You can find other Test: Probability And Expected Value By Mathematical Expectation- 4 extra questions, long questions & short questions for CA Foundation on EduRev as well by searching above.
QUESTION: 1

​If probability of drawing a spade from a well-shuffled pack of playing cards is ¼ then the probability that of the card drawn from a well-shuffled pack of playing cards is ‘not a spade’ is

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QUESTION: 2

Probability of the sample space is

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QUESTION: 3

Sum of all probabilities is equal to

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QUESTION: 4

Let a sample space be S = {X1, X2, X3} which of the fallowing defines probability space on S ?

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QUESTION: 5

Let P be a probability function on S = {X1 , X2 , X3} if P(X1)= ¼ and P(X3) = 1/3 then P (X2) is equal to

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QUESTION: 6

The chance of getting a sum of 10 in a single throw with two dice is

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QUESTION: 7

The chance of getting a sum of 6 in a single throw with two dice is

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QUESTION: 8

P (B/A) defines the probability that event B occurs on the assumption that A has happened

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QUESTION: 9

The complete group of all possible outcomes of a random experiment given an ________ set of events.

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QUESTION: 10

When the event is ‘certain’ the probability of it is

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QUESTION: 11

The classical definition of probability is based on the feasibility at subdividing the possible outcomes of the experiments into

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QUESTION: 12

Two unbiased coins are tossed. The probability of obtaining ‘both heads’ is

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QUESTION: 13

Two unbiased coins are tossed. The probability of obtaining one head and one tail is

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QUESTION: 14

Two unbiased coins are tossed. The probability of obtaining both tail is

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QUESTION: 15

Two unbiased coins are tossed. The probability of obtaining at least one head is

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QUESTION: 16

When unbiased coins are tossed. The probability of obtaining 3 heads is

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QUESTION: 17

When unbiased coins are tossed. The probability of obtaining not more than 3 heads is

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QUESTION: 18

When unbiased coins are tossed. The probability of getting both heads or both tails is

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QUESTION: 19

Two dice with face marked 1, 2, 3, 4, 5, 6 are thrown simultaneously and the points on the dice are multiplied together. The probability that product is 12 is

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QUESTION: 20

A bag contain 6 white and 5 black balls. One ball is drawn. The probability that it is white is

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QUESTION: 21

Probability of occurrence of at least one of the events A and B is denoted by

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QUESTION: 22

Probability of occurrence of A as well as B is denoted by

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QUESTION: 23

Which of the following relation is true ?

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QUESTION: 24

If events A and B are mutually exclusive, the probability that either A or B occurs is given by

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QUESTION: 25

The probability of occurrence of at least one of the 2 events A and B (which may not be mutually exclusive) is given by

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QUESTION: 26

If events A and B are independent, the probability of occurrence of A as well as B is given by

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QUESTION: 27

For the condition P(AB)= P(A)P(B) two events A and B are said to be

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QUESTION: 28

The conditional probability of an event B on the assumption that another event A has actually occurred is given by

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QUESTION: 29

In a throw of coin what is the probability of getting tails.

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Total cases = [H,T] - 2
Favourable cases = [T] -1
So probability of getting tails = 1/2

QUESTION: 30

Demand of products per day for three days are 21, 19, 22 units and their respective probabilities are 0.29, 0.40, 0.35. profit per unit is $0.50 then expected profits for three days are

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QUESTION: 31

If P (A)= 1, P(B)= 1, the events A & B are 3 4

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QUESTION: 32

If events A and B are independent then

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QUESTION: 33

A card is drown from each of two well-shuffled packs of cards.The probability that at least one of them is an ace is

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QUESTION: 34

When a die is tossed, the sample space is

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QUESTION: 35

Find the expectation of a random variable X?

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Answer is 'D'

QUESTION: 36

If events A and B are independent and P(A)= 2/3 , P(B)= 3/5 then P(A+B)is equal to

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QUESTION: 37

The expected no. of head in 100 tosses of an unbiased coin is

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QUESTION: 38

A and B are two events such that P(A)= 1/3, P(B) = ¼, P(A+B)= 1/2, than P(B/A) is equal to

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QUESTION: 39

Probability mass function is always

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QUESTION: 40

The sum of probability mass function is equal to

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