Multiple Choice Questions On Probability

Multiple Choice Questions

On

Probability

1.      If the union two events give the entire sample space is called

i. Mutually Exclusive Events

ii. Equally Likely Events

iii. Exhaustive Events

iv. Disjoint Events

2.      A set contains all possible result of a random experiment is called

i. Simple Event

ii. Sample Space

iii. Exhaustive Events

iv. Null Event

3.      If two events can not appear together at a time is

i. Exhaustive events

ii. Mutually exclusive events

iii. Dependent events

iv. Independent events

4.      The sample space consists …... sample points, if a coin is tossed 4 times.

i. 8

ii. 12

iii. 16

iv. 20

5. What is probability of drawing two clubs from a well shuffled pack of 52 cards?

         i.    1/17

          ii.   4/7

          iii.   2/7

           iv.  5/7

6.      When two coins are tossed simultaneously, what are the chances of getting at least one tail?

i. ¾

ii.  1/5

iii.   4/5

iv. 1/4

7.       In a drawer there are 4 white socks, 3 blue socks and 5 grey socks. Two socks are picked randomly. What is the possibility that both the socks are of same color?

i. 4/11

ii. 1

iii. 2/33

iv. 19/66

8.  On rolling a dice 2 times, the sum of 2 numbers that appear on the uppermost face is 8. What is the probability that the first throw of dice yields 4?

i. 2/36

ii. 1/36

iii. 1/6

iv. 1/5

9.  Probability of second event in situation if first event has been occurred is classified as

i. Series probability

ii. Conditional probability

iii. Joint probability

iv. Dependent probability

10.      In probability theories, events which can never occur together are classified as

i. Collectively exclusive events

ii. Mutually exhaustive events

iii. Mutually exclusive events

iv. Collectively exhaustive events

11.      which of the following statement is not true regarding probability?

i. 0 < P(Ai) < 1

ii. P(A) = 0

 iii.  P(S) = 1

iv. -1< P(A) < +1

12.      The probability of getting head in a single flip of a coin is

i. 1

ii. 1 / 2

iii. 1 / 4

iv. 0

13.   if P(A) = 0.20 and P(B) = 0.30. The  will be if A and B are mutually exclusive

i. 0.10

ii. 0.20

iii. 0.50

iv. 0.60

14.   If P(A) = 0.80 then  will be

i. 0.80

ii. 0.16

iii. 0.20

iv. 0.10

15.      If the two events “A” and “B” are independent, then conditional probability of A given B is

i. P(A & B)

ii. P(B)

iii. P(A)

 iv.  Zero

16.      The probability of more than 5 when a dice is rolled once.

i. 1/6

ii. 2/6

iii. 3/6

17.   if A and B are independent and P(A) = 0.40 and P(A B) = 0.20, the P(B) will be

i. 0.20

ii. 0.50

iii. 0.60

iv. 0.70

18.      When an event accommodates the entire sample space, the probability of the event is

i. 0

ii. 0.50

iii. 0.05

iv. 1.00

19.  The union of A = {1, 2, 3} and B = {4, 5, 6} of a dice experiment is called

i. Mutually exclusive events

ii. Equally likely events

iii. Exhaustive events

iv. Impossible events

20.  When a coin and a dice are thrown together, the sample space contains the sample points are

i. 2

ii. 6

iii. 12

iv. 36

21.  If the probability of rain today is 0.5, what will be the probability of wet today is

i. 0

ii. 0.5

iii. 0.9

iv. 1.0

22.  If A and B are mutually exclusive events and P (A) = 0.7, P (B) = 0.3, then P (AUB) is

i. 0.4

ii. 0.21

iii. 0.28

iv. 1.00

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

i. 1

ii. ¼

iii. ½

iv. 1/5

24.   If A and B are mutually exclusive events and P(A) = 0.2, P(AUB) = 0.5. The P(B) will be

           i.  0.2

ii. 0.3

iii. 0.1

iv. 0.7

•  Read More: Probability Distribution