1. All possible outcomes of a random experiment forms the
(a) events (b) sample space (c) both (d) none
2. If one of outcomes cannot be expected to occur in preference to the other in an experiment the events are
(a) simple events (b) compound events
(c) favourable events (d) equally likely events 3. If two events cannot occur simultaneously in the same trial then they are
(a) mutually exclusive events (b) simple events
(c) favourable events (d) none
4. When the number of cases favourable to the event A is then P(A) is equal to
(a) 1 (b) 0 (c) ½ (d) none
5. A card is drawn from a well-shuffled pack of playing cards. The probability that it is a spade is
(a) 1/13 (b) ¼ (c) 3/13 (d) none
6. A card is drawn from a well-shuffled pack of playing cards. The probability that it is a king is
(a) 1/13 (b) ¼ (c) 4/13 (d) none
7. A card is drawn from a well-shuffled pack of playing cards. The probability that it is the ace of clubs is
(a) 1/13 (b) ¼ (c) 1/52 (d) none
8. In a single throw with two dice the probability of getting a sum of five on the two dice is
(a) 1/9 (b) 5/36 (c) 5/9 (d) none
9. In a single throw with two dice, the probability of getting a sum of six on the two dice is
(a) 1/9 (b) 5/36 (c) 5/9 (d) none
10. The probability that exactly one head appears in a single throw of two fair coins is
(a) 3/4 (b) 1/2 (c) 1/4 (d) none
11. The probability that at least one head appears in a single throw of three fair coins is
(a) 1/8 (b) 7/8 (c) 1/3 (d) none
12. The definition of probability fails when the no of possible outcomes of the experiment is infinite
(a) True (b) false (c) both (d) none
13. The following table gives distribution of wages of 100 workers –
Wages (in Rs.) 120–140 140–160 160–180 180–200 200–220 220–240 240–260
No. of workers 9 20 0 10 8 35 18
The probability that his wages are under Rs.140 is
(a) 20/100 (b) 9/100 (c) 29/100 (d) none
14. An individual is selected at random from the above group. The probability that his wages are under Rs.160 is
(a) 9/100 (b) 20/100 (c) 29/100 (d) none
15. For the above table the probability that his wages are above Rs.200 is
(a) 43/100 (b) 35/100 (c) 53/100 (d) 61/100
16. For the above table the probability that his wages between Rs.160 and 220 is
(a) 30/100 (b) 10/100 (c) 38/100 (d) 18/100
17. The table below shows the history of 1000 men :
Life (in years) : 60 70 80 90
No. survived : 1000 500 100 60
The probability that a man will survived to age 90 is
(a) 60/1000 (b) 160/1000 (c) 660/1000 (d) none
18. The terms “chance” and probability are synonymous
(a) True (b) false (c) both (d) none
19. 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
(a) 1 (b) ½ (c) ¼ (d) ¾
20. Probability of the sample space is
(a) 0 (b) ½ (c) 1 (d) none
21. Sum of all probabilities of mutually exclusive and exhaustive events is equal to
(a) 0 (b) ½ (c) ¾ (d) 1
22. Let a sample space be S = {X1, X2, X3} which of the fallowing defines probability space on S ?
(a) P(X1)= ¼ , P(X2)= 1/3 , P(X3)= 1/3 (b) P(X1)= 0, P(X2)= 1/3, P(X3)= 2/3 (c) P(X1)= 2/3 , P(X2)= 1/3 , P(X3)= 2/3 (d) none
23. 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
(a) 5/12 (b) 7/12 (c) 3/4 (d) none 24. The chance of getting a sum of 10 in a single throw with two dice is
(a) 10/36 (b) 1/12 (c) 5/36 (d) none
25. The chance of getting a sum of 6 in a single throw with two dice is
(a) 3/36 (b) 4/36 (c) 6/36 (d) 5/36
26. P (B/A) defines the probability that event B occurs on the assumption that A has happened
(a) Yes (b) no (c) both (d) none
27. The complete group of all possible outcomes of a random experiment given an ________
set of events.
(a) mutually exclusive (b) exhaustive (c) both (d) none 28. When the event is ‘certain’ the probability of it is
(a) 0 (b) 1/2 (c) 1 (d) none
29. The classical definition of probability is based on the feasibility at subdividing the possible outcomes of the experiments into
(a) mutually exclusive and exhaustive (b) mutually exclusive and equally likely (c) exhaustive and equally likely
(d) mutually exclusive,exhaustive and equally likely cases.
30. Two unbiased coins are tossed. The probability of obtaining ‘both heads’ is
(a) ¼ (b) 2/4 (c) ¾ (d) none
31. Two unbiased coins are tossed. The probability of obtaining one head and one tail is
(a) ¼ (b) 2/4 (c) ¾ (d) none
32. Two unbiased coins are tossed. The probability of obtaining both tail is
(a) 2/4 (b) 3/4 (c) ¼ (d) none
33. Two unbiased coins are tossed. The probability of obtaining at least one head is
(a) ¼ (b) 2/4 (c) ¾ (d) none
34. When two unbiased coins are tossed, the probability of obtaining 3 heads is
(a) 2/4 (b) ¼ (c) ¾ (d) 0
35. When two unbiased coins are tossed, the probability of obtaining not more than 3 heads is
(a) ¾ (b) ½ (c) 1 (d) 0
36. When two unbiased coins are tossed, the probability of getting both heads or both tails is
(a) ½ (b) ¾ (c) ¼ (d) none
37. 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
(a) 4/36 (b) 5/36 (c) 12/36 (d) none
38. A bag contain 6 white and 5 black balls. One ball is drawn. The probability that it is white is
(a) 5/11 (b) 1 (c) 6/11 (d) 1/11
39. Probability of occurrence of at least one of the events A and B is denoted by
(a) P(AB) (b) P(A+B) (c) P(A/B) (d) none
40. Probability of occurrence of A as well as B is denoted by
(a) P(AB) (b) P(A+B) (c) P(A/B) (d) none
41. Which of the following relation is true ?
(a) P(A)– P(AC)= 1 (b) P(A)+ P(AC)= 1 (c) P(A) P(AC)= 1 (d) none
42. If events A and B are mutually exclusive, the probability that either A or B occurs is given by a) P (A+B)= P(A)– P(B) (b) P (A+B)=P(A)+ P(B)– P(AB)
c) P (A+B)= P(A)– P(B)+ P(AB) (d) P (A+B)= P(A)+ P(B)
43. The probability of occurrence of at least one of the 2 events A and B (which may not be mutually exclusive) is given by
a) P(A+B)= P(A)– P(B) (b) P(A+B)= P(A)+ P(B)– P(AB) c) P(A+B)= P(A)– P(B)+ P(AB) (d) P(A+B)= P(A)+P (B)
44. If events A and B are independent, the probability of occurrence of A as well as B is given by
(a) P(AB)= P(A/B) (b) P(AB)= P(A)P(B)
(c) P(AB)= P(A)P(B) (d) None
45. For the condition P(AB)= P(A)P(B)two events A and B are said to be
(a) dependent (b) independent (c) equally like (d) none
46. The conditional probability of an event B on the assumption that another event A has actually occurred is given by
49. If P (A)= 1
3, P(B)=
1
4, the events A & B are
a) not equally likely b) mutually exclusive
c) equally likely d) none
50. If events A and B are independent then
a) AC and BC are dependent b) AC and B are dependent
c) A and BC are dependent d) AC and BC are also independent
51. 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
52. When a die is tossed, the sample space is
a) S =(1,2,3,4,5) b) S =(1,2,3,4) c) S =(1,2,3,4,5,6) d) none
54. If events A and B are independent and P(A)= 2/3 , P(B)= 3/5 then P(A+B)is equal to a)13
55. The expected number of head in 100 tosses of an unbiased coin is
a) 100 b) 50 c) 25 d) none
56. 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
a) ¼ b) 1/3 c) 1/2 d) none
57. Probability mass function is always
a) 0 b) greater than 0
c) greater than equal to 0 d) less than 0 58. The sum of probability mass function is equal to
a) –1 b) 0 c) 1 d) none
59. When X is a continues function f(x)is called
a) probability mass function b) probability density function
c) both d) none
60. Which of the following set of function define a probability space on S = a1, a2, a3 a) P(a1)= 1/3, P(a2) = ½, P(a3)= ¼ b) P(a1)= 1/3, P(a2)= 1/6,P(a3)= 1/2 c) P(a1)= P(a2)= 2/3, P(a3)= ¼ d) None
61. If P (a1)= 0, P(a2)= 1/3, P (a3) = 2/3 then S = {a1, a2, a3}is a probability space
a) true b) false c) both d) none
62. If two events are independent then
a) P(B/A)= P(AB) P(A) b) P(B/A)= P(AB) P(B) c) P(B/A)= P(B) d) P(B/A)P(A)
63. When expected value is negative the result is
a) favourable b) unfavourable
c) both d) none to the player
64. The expected value of X, the sum of the scores, when two dice are rolled is
a) 9 b) 8 c) 6 d) 7
65. Let A and B be the events with P(A)= 1/3, P(B) = ¼ and P(AB)= 1/12 then P(A/B) is equal to
a) 1/3 b) ¼ c) ¾ d) 2/3
66. Let A and B be the events with P(A)= 2/3, P(B)= ¼ and P(AB)= 1/12 then P(B/A) is equal to
a) 7/8 b) 1/3 c) 1/8 d) none
67. The odds in favour of one student passing a test are 3:7.The odds against another student passing at are 3:5.The probability that both pass is
a) 7/16 b) 21/80 c) 9/80 d) 3/16
68. The odds in favour of one student passing a test are 3:7.The odds against another student passing at are 3:5. The probability that both fail is
a) 7/16 b) 21/80 c) 9/80 d) 3/16
69. In formula P(B/A), P(A) is
a) greater than zero b) less than zero
c) equal to zero d) greater than equal to zero
70. Two events A and B are mutually exclusive means they are
a) not disjoint b) disjoint c) equally likely d) none
71. A bag contains 10 white and 10 black balls A ball is drawn from it. The probability that it will be white is
(a) 1/10 (b) 1 (c) ½ (d) none
72. Two dice are thrown at a time. The probability that the numbers shown are equal is
(a) 2/6 (b) 5/6 (c) 1/6 (d) none
73. Two dice are thrown at a time. The probability that ‘the difference of numbers shown is 1’
is
(a) 11/18 (b) 5/18 (c) 7/18 (d) none
74. Two dice are thrown together. The probability that ‘the event the difference of numbers shown is 2’ is
(a) 2/9 (b) 5/9 (c) 4/9 (d) 7/9
75. The probability space in tossing two coins is
(a) {(H,H),(H,T),(T,H)} (b) {(H,T),(T,H),(T,T)}
(c) {(H,H),(H,T),(T.H), (T,T)} (d) none
76. The probability of drawing a white ball from a bag containing 3 white and 8 balls is
(a) 3/5 (b) 3/11 (c) 8/11 (d) none
77. Two dice are thrown together. The probability of the event that the sum of numbers shown is greater than 5 is
(a) 13/18 (b) 15/18 (c) 1 (d) none
78. A traffic census show that out of 1000 vehicles passing a junction point on a highway 600 turned to the right. The probability of an automobile turning the right is
(a) 2/5 (b) 3/5 (c) 4/5 (d) none
79. Three coins are tossed together. The probability of getting three tails is
(a) 5/8 (b) 3/8 (c) 1/8 (d) none
80. Three coins are tossed together.The probability of getting exactly two heads is
(a) 5/8 (b) 3/8 (c) 1/8 (d) none
81. Three coins are tossed together. The probability of getting at least two heads is
(a) 1/2 (b) 3/8 (c) 1/8 (d) none
82. 4 coins are tossed. The probability that there are 2 heads is
(a) 1/2 (b) 3/8 (c) 1/8 (d) none
83. If 4 coins are tossed. The chance that there should be two tails is
(a) 1/2 (b) 3/8 (c) 1/8 (d) none
84. If A is an event and AC its complementary event then
(a) P(A)=P(AC)–1 (b) P(AC)=1–P(A) (c) P(A)=1 + P(AC) (d) none 85. If P(A)= 3/8, P(B)= 1/3 and P(AB)= ¼ then P(AC) is equal to
(a) 5/8 (b) 3/8 (c) 1/8 (d) none
86. If P(A)= 3/8, P(B)= 1/3 then P(B ) is equal to
(a) 1 (b) 1/3 (c) 2/3 (d) none
87. If P(A)= 3/8, P(B)= 1/3 and P(AB)= ¼ then P(A + B)is
(a) 13/24 (b) 11/24 (c) 17/24 (d) none
C
88. If P(A)= 1/5, P(B)= 1/2 and A and B are mutually exclusive then P(AB) is
(a) 7/10 (b) 3/10 (c) 1/5 (d) none
89. The probability of throwing more than 4 in a single throw from an ordinary die is
(a) 2/3 (b) 1/3 (c) 1 (d) none
90. The probability that a card drawn at random from the pack of playing cards may be either a queen or an ace is
(a) 2/13 (b) 11/13 (c) 9/13 (d) none
91. The chance of getting 7 or 11 in a throw of 2 dice is
(a) 7/9 (b) 5/9 (c) 2/9 (d) none
92. If the probability of a horse A winning a race is 1/6 and the probability of a horse B winning the same race is 1/4 , what is the probability that one of the horses will win
(a) 5/12 (b) 7/12 (c) 1/12 (d) none
93. If the probability of a horse A winning a race is 1/6 and the probability of a horse B winning the same race is 1/4 , What is the probability that none of them will win
(a) 5/12 (b) 7/12 (c) 1/12 (d) none
94. If P (A)= 7/8 then(P(AC) is equal to
(a) 1 (b) 0 (c) 7/8 (d) 1/8
95. The value of P(S) were S is the sample space is
(a) –1 (b) 0 (c) 1 (d) none
96. A man can kill a bird once in three shots.The probabilities that a bird is not killed is
(a) 1/3 (b) 2/3 (c) 1 (d) 0
97. If on an average 9 shops out of 10 return safely to a port, the probability of one ship returns safely is
(a) 1/10 (b) 8/10 (c) 9/10 (d) none
98. If on an average 9 shops out of 10 return safely to a port, the probability of one ship does not reach safely is
(a) 1/10 (b) 8/10 (c) 9/10 (d) none
99. The probability of winning of a person is 6/11 and at a result he gets Rs.77/= .The expectation of this person is
(a) Rs.35/= (b) Rs.42/= (c) Rs.58/= (d) none
100. A family has 2 children. The probability that both of them are boys if it is known that one of them is a boy
(a) 1 (b) 1/2 (c) 3/4 (d) none
101. The Probability of the occurrence of a number greater then 2 in a throw of a die if it is known that only even numbers can occur is
(a) 1/3 (b) 1/2 (c) 2/3 (d) none
102. A player has 7 cards in hand of which 5 are red and of these five 2 are kings. A card is drawn at random. The probability that it is a king, it being known that it is red is
(a) 2/5 (b) 3/5 (c) 4/5 (d) none
103. In a class 40 % students read Mathematics, 25 % Biology and 15 % both Mathematics and Biology. One student is select at random. The probability that he reads Mathematics if it is known that he reads Biology is
(a) 2/5 (b) 3/5 (c) 4/5 (d) none
104. In a class 40 % students read Mathematics, 25 % Biology and 15 % both Mathematics and Biology. One student is select at random.The probability that he reads Biology if he reads Mathematics
(a) 7/8 (b) 1/8 (c) 3/8 (d) none
105. Probability of throwing an odd no with an ordinary six faced die is
(a) 1/2 (b) 1 (c) –1/2 (d) 0
106. For a event A which is certain, P (A) is equal to
(a) 1 (b) 0 (c) –1 (d) none
107. When none of the outcomes is favourable to the event then the event is said to be
(a) certain (b) sample (c) impossible (d) none
1 (b) 2 (d) 3 (a) 4 (b) 5 (b)
6 (a) 7 (c) 8 (a) 9 (b) 10 (b)
11 (b) 12 (a) 13 (b) 14 (c) 15 (d)
16 (d) 17 (a) 18 (a) 19 (d) 20 (c)
21 (d) 22 (b) 23 (a) 24 (b) 25 (d)
26 (a) 27 (b) 28 (c) 29 (d) 30 (a)
31 (b) 32 (c) 33 (c) 34 (d) 35 (c)
36 (a) 37 (a) 38 (c) 39 (b) 40 (a)
41 (b) 42 (d) 43 (b) 44 (c) 45 (b)
46 (a) 47 (b) 48 (d) 49 (a) 50 (d)
51 (b) 52 (c) 53 (d) 54 (a) 55 (b)
56 (a) 57 (c) 58 (c) 59 (b) 60 (b)
61 (a) 62 (c) 63 (b) 64 (d) 65 (a)
66 (c) 67 (d) 68 (b) 69 (a) 70 (b)
71 (c) 72 (c) 73 (b) 74 (a) 75 (c)
76 (b) 77 (a) 78 (b) 79 (c) 80 (b)
81 (a) 82 (b) 83 (b) 84 (b) 85 (a)
86 (c) 87 (b) 88 (d) 89 (b) 90 (a)
91 (c) 92 (a) 93 (b) 94 (d) 95 (c)
96 (b) 97 (c) 98 (a) 99 (b) 100 (d)
101 (c) 102 (a) 103 (b) 104 (c) 105 (a)
106 (a) 107 (c)