Transcript continued · pages 51–58

SECTION D - QUANTITATIVE APTITUDE - CHAPTER 13

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(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 unbiased coins are tossed. The probability of obtaining 3 heads is (a) 2/4 (b) ¼ (c) ¾ (d) 0 35. When unbiased coins are tossed. The probability of obtaining not more than 3 heads is (a) ¾ (b) ½ (c) 1 (d) 0 36. When unbiased coins are tossed. The probability of getting both heads or both tails is (a) ½ (b) ¾ (c) ¼ (d) none (cid:20)(cid:5)(cid:3)(cid:5)(cid:18)(cid:20)(cid:5)(cid:18)(cid:1)(cid:20) (cid:10)(cid:11)(cid:12)(cid:22)(cid:10) Copyright -The Institute of Chartered Accountants of India (cid:1)(cid:2)(cid:3)(cid:4)(cid:5)(cid:4)(cid:6)(cid:7)(cid:6)(cid:8)(cid:9)(cid:10)(cid:5)(cid:11)(cid:12)(cid:10)(cid:13)(cid:14)(cid:1)(cid:13)(cid:15)(cid:8)(cid:13)(cid:12)(cid:10)(cid:16)(cid:5)(cid:7)(cid:17)(cid:13)(cid:10)(cid:4)(cid:9)(cid:10)(cid:18)(cid:5)(cid:8)(cid:19)(cid:13)(cid:18)(cid:5)(cid:8)(cid:6)(cid:15)(cid:5)(cid:7)(cid:10)(cid:13)(cid:14)(cid:1)(cid:13)(cid:15)(cid:8)(cid:5)(cid:8)(cid:6)(cid:3)(cid:11) 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)(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+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 (a) P(B/ )= P(AB)/P(A) (b) P(A/ )= P(AB)/ P(B) A B (c) P(B/ )= P(AB) (d) P(A/ )= P(AB)/ P(A)P(B) A B 47. Given P(A)= 1 , P(B)= 1 , P(AB)= 1 , the value of P(A+B)is 23 4 a) 3 b) 7 c) 5 d) 1 4 12 6 6 48. Given P(A)= 1 , P(B)= 1 , P (AB)= 1 , the value of P (A/B)is 2 3 4 (a) 1 (b) 1 (c) 2 (d) 3 2 6 3 4 (cid:10)(cid:11)(cid:12)(cid:22)(cid:13) (cid:1)(cid:14)(cid:15)(cid:15)(cid:14)(cid:16)(cid:8) (cid:4)(cid:7)(cid:14)(cid:17)(cid:18)(cid:1)(cid:18)(cid:6)(cid:16)(cid:1)(cid:19)(cid:8) (cid:5)(cid:6)(cid:20)(cid:5) Copyright -The Institute of Chartered Accountants of India 49. If P (A)= 1, P(B)= 1, the events A & B are 3 4 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 a) 1 b) 25 c) 2 d) none 169 169 13 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 53. If P (A)= 1, P(B)= 2, P (A+B)= 1 then P(AB)is equal to 4 52 a) 3 b) 2 c) 13 d) 3 4 20 20 20 54. If events A and B are independent and P(A)= 2/3 , P(B)= 3/5 then P(A+B)is equal to 13 6 1 a) b) c) d) none 15 15 15 55. The expected no. 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/ , P(B) = ¼, P(A+B)= 1/ , than P(B/ ) is equal 3 2 A to a) ¼ b) 1/ c) 1/ d) none 3 2 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 = a , a , a 1 2 3 a) P(a )= 1/ , P(a ) = ½, P(a )= ¼ b) P(a )= 1/ , P(a )= 1/ ,P(a )= 1/ 1 3 2 3 1 3 2 6 3 2 c) P(a )= P(a )= 2/ , P(a )= ¼ d) None 1 2 3 3 (cid:20)(cid:5)(cid:3)(cid:5)(cid:18)(cid:20)(cid:5)(cid:18)(cid:1)(cid:20) (cid:10)(cid:11)(cid:12)(cid:22)(cid:11) Copyright -The Institute of Chartered Accountants of India (cid:1)(cid:2)(cid:3)(cid:4)(cid:5)(cid:4)(cid:6)(cid:7)(cid:6)(cid:8)(cid:9)(cid:10)(cid:5)(cid:11)(cid:12)(cid:10)(cid:13)(cid:14)(cid:1)(cid:13)(cid:15)(cid:8)(cid:13)(cid:12)(cid:10)(cid:16)(cid:5)(cid:7)(cid:17)(cid:13)(cid:10)(cid:4)(cid:9)(cid:10)(cid:18)(cid:5)(cid:8)(cid:19)(cid:13)(cid:18)(cid:5)(cid:8)(cid:6)(cid:15)(cid:5)(cid:7)(cid:10)(cid:13)(cid:14)(cid:1)(cid:13)(cid:15)(cid:8)(cid:5)(cid:8)(cid:6)(cid:3)(cid:11) 61. If P (a )= 0, P(a )= 1/ , P (a ) = 2/ then S = a , a , a is a probability space 1 2 3 3 3 1 2 3 a) true b) false c) both d) none 62. If two events are independent then a) P(B/ )= P(AB) P(A) b) P(B/ )= P(AB) P(B) A A c) P(B/ )= P(B) d) P(B/ )P(A) A 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/ , P(B) = ¼ and P(AB)= 1/ then P(A/ ) is equal 3 12 B to a) 1/ b) ¼ c) ¾ d) 2/ 3 3 66. Let A and B be the events with P(A)= 2/ , P(B)= ¼ and P(AB)= 1/ then P(B/ ) is equal to 3 12 A a) 7/ b) 1/ c) 1/ d) none 8 3 8 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/ b) 21/ c) 9/ d) 3/ 16 80 80 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/ b) 21/ c) 9/ d) 3/ 16 80 80 16 69. In formula P(B/ ), P(A) is A 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 nos 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 nos shown is 1’ is (a) 11/18 (b) 5/18 (c) 7/18 (d) none (cid:10)(cid:11)(cid:12)(cid:22)(cid:21) (cid:1)(cid:14)(cid:15)(cid:15)(cid:14)(cid:16)(cid:8) (cid:4)(cid:7)(cid:14)(cid:17)(cid:18)(cid:1)(cid:18)(cid:6)(cid:16)(cid:1)(cid:19)(cid:8) (cid:5)(cid:6)(cid:20)(cid:5) Copyright -The Institute of Chartered Accountants of India 74. Two dice are thrown together. The probability that ‘the event the difference of nos 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 nos. 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(A) 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 (cid:20)(cid:5)(cid:3)(cid:5)(cid:18)(cid:20)(cid:5)(cid:18)(cid:1)(cid:20) (cid:10)(cid:11)(cid:12)(cid:22)(cid:22) Copyright -The Institute of Chartered Accountants of India (cid:1)(cid:2)(cid:3)(cid:4)(cid:5)(cid:4)(cid:6)(cid:7)(cid:6)(cid:8)(cid:9)(cid:10)(cid:5)(cid:11)(cid:12)(cid:10)(cid:13)(cid:14)(cid:1)(cid:13)(cid:15)(cid:8)(cid:13)(cid:12)(cid:10)(cid:16)(cid:5)(cid:7)(cid:17)(cid:13)(cid:10)(cid:4)(cid:9)(cid:10)(cid:18)(cid:5)(cid:8)(cid:19)(cid:13)(cid:18)(cid:5)(cid:8)(cid:6)(cid:15)(cid:5)(cid:7)(cid:10)(cid:13)(cid:14)(cid:1)(cid:13)(cid:15)(cid:8)(cid:5)(cid:8)(cid:6)(cid:3)(cid:11) 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 (cid:10)(cid:11)(cid:12)(cid:22)(cid:23) (cid:1)(cid:14)(cid:15)(cid:15)(cid:14)(cid:16)(cid:8) (cid:4)(cid:7)(cid:14)(cid:17)(cid:18)(cid:1)(cid:18)(cid:6)(cid:16)(cid:1)(cid:19)(cid:8) (cid:5)(cid:6)(cid:20)(cid:5) Copyright -The Institute of Chartered Accountants of India 101.The Probability of the occurrence of a no. greater then 2 in a throw of a die if it is known that only even nos. 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 certain event A ,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 (cid:20)(cid:5)(cid:3)(cid:5)(cid:18)(cid:20)(cid:5)(cid:18)(cid:1)(cid:20) (cid:10)(cid:11)(cid:12)(cid:22)(cid:24) Copyright -The Institute of Chartered Accountants of India (cid:1)(cid:2)(cid:3)(cid:4)(cid:5)(cid:4)(cid:6)(cid:7)(cid:6)(cid:8)(cid:9)(cid:10)(cid:5)(cid:11)(cid:12)(cid:10)(cid:13)(cid:14)(cid:1)(cid:13)(cid:15)(cid:8)(cid:13)(cid:12)(cid:10)(cid:16)(cid:5)(cid:7)(cid:17)(cid:13)(cid:10)(cid:4)(cid:9)(cid:10)(cid:18)(cid:5)(cid:8)(cid:19)(cid:13)(cid:18)(cid:5)(cid:8)(cid:6)(cid:15)(cid:5)(cid:7)(cid:10)(cid:13)(cid:14)(cid:1)(cid:13)(cid:15)(cid:8)(cid:5)(cid:8)(cid:6)(cid:3)(cid:11) AAAAANNNNNSSSSSWWWWWEEEEERRRRRSSSSS 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 (a) 89 (b) 90 (a) 91 (c) 92 (a) 93 (b) 94 (d) 95 (c) 96 (b) 97 (c) 98 (a) 99 (b) 100 (b) 101 (c) 102 (a) 103 (b) 104 (c) 105 (a) 106 (a) 107 (c) (cid:10)(cid:11)(cid:12)(cid:22)(cid:25) (cid:1)(cid:14)(cid:15)(cid:15)(cid:14)(cid:16)(cid:8) (cid:4)(cid:7)(cid:14)(cid:17)(cid:18)(cid:1)(cid:18)(cid:6)(cid:16)(cid:1)(cid:19)(cid:8) (cid:5)(cid:6)(cid:20)(cid:5) Copyright -The Institute of Chartered Accountants of India
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