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1.Algebra Booster

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8.24 Algebra <strong>Booster</strong><br />

72. A is targeting to B, B and C are targeting to A. Probability<br />

of hitting the target by A, B and C are 2/3, 1/2 and<br />

1/3, respectively. If A is hit, find the probability that<br />

hits the target and C does not. [IIT-JEE, 2003]<br />

73. For a student to qualify, he must pass at least two out<br />

of three examinations. The probability that he will pass<br />

the 1 st exam is p. If he fails in one of examinations, the<br />

probability of his passing in the next examinations is<br />

p/2, otherwise it remains the same. Find the probability<br />

that he will qualify? [IIT-JEE, 2003]<br />

74. If three distinct numbers are chosen randomly from the<br />

first 100 natural numbers, the probability that all the<br />

three of them are divisible by both 2 and 3 is<br />

(a) 4/25 (b) 4/35 (c) 4/33 (d) 4/1155.<br />

[IIT-JEE, 2004]<br />

75. A box contains 12 red and 6 white balls. Balls are drawn<br />

from the bag, one at a time, without replacement. If in<br />

6 draws, there are at least 4 white balls, find the probability<br />

that exactly one white ball is drawn in the next<br />

two draws (binomial co-efficients can be left as such).<br />

[IIT-JEE, 2004]<br />

76. If A and B are two independent events, prove that<br />

P(A » B) ◊ P(A¢ »B¢) £ P(C),<br />

where C is an event defined that exactly one of A and B<br />

occurs. [IIT-JEE, 2004]<br />

77. A fair die is rolled. The probability that the first time 1<br />

occurs at the even number of trials is<br />

(a) 6/11 (b) 1/6 (c) 5/36 (d) 5/11<br />

[IIT-JEE, 2005]<br />

78. Rohan goes to office either by a car, a scooter, a bus<br />

or a train, probability of which being 1/7, 3/ 7, 2/7 and<br />

1/7 respectively and probability that he is reaching office<br />

late if he takes a car, a scooter, a bus or a train is<br />

2/9, 1/9, 1/7 and 1/9, respectively. Find the probability<br />

that he has travelled by car, if he reaches office in time.<br />

[IIT-JEE, 2005]<br />

(a)<br />

(c)<br />

n<br />

1 n 1<br />

(c) (d)<br />

n + 1 n + 1 2<br />

Ê 1ˆ<br />

ÁPu ( i ) =<br />

Ë<br />

˜<br />

¯ , the value of P(w/E) is<br />

Comprehensive Link Passage<br />

Paragraph (81 to 83): There are n urns each containing n +<br />

1 balls such that ith urn contains i white balls and (n + 1 – i)<br />

red balls. Let be the event of selecting ith urn, i = 1, 2, 3, …,<br />

n and w denotes the event of getting a white ball.<br />

[IIT-JEE, 2006]<br />

79. If P(u i<br />

) = i, where i = 1, 2, 3, …, n, then lim Pw ( ) is<br />

equal to<br />

(a) 1 (b) 2/3 (c) 3/4 (d) 1/4<br />

80. If P(u i<br />

) = c, where c is a constant, then P(u i<br />

/w) is equal<br />

to<br />

2<br />

(a) (b)<br />

n + 1<br />

81. If n is even and E denotes the event of choosing evennumbered<br />

urn<br />

n<br />

n + 2<br />

n + 2<br />

(b)<br />

2n<br />

+ 1<br />

2( n + 1)<br />

n<br />

1<br />

(d)<br />

n + 1<br />

n + 1<br />

82. One Indian and four American men and their wives are<br />

to be seated randomly around a circular table. The conditional<br />

probability that the Indian man is seated adjacent<br />

to his wife given that each American man is seated<br />

adjacent to his wife is<br />

(a) 1/2 (b) 1/3 (c) 2/5 (d) 1/5<br />

[IIT-JEE, 2007]<br />

83. Let E c denotes the complement of an event E. Let E, F,<br />

G be pair-wise independent events with P(G) > 0 and<br />

P(E « F « G) = 0.<br />

Then P(E c « F c /F) equals<br />

(a) P(E c ) + P(F c ) (b) P(E c ) – P(F c )<br />

(c) P(E c ) – P(F) (d) P(E) – P(F c ).<br />

[IIT-JEE, 2007]<br />

84. An experiment has 10 equally-likely outcomes. Let A<br />

and B be two non-empty events of the same experiment.<br />

If A consists of 4 outcomes, the number of outcomes<br />

that B must have so that A and B are independent,<br />

is<br />

(a) 2, 4 or 8 (b) 3, 6 or 9<br />

(c) 4 or 8 (d) 5 or 10<br />

[IIT-JEE, 2008]<br />

85. Consider the system of equations<br />

ax + by = 0, cx + dy = 0,<br />

where 0 £ a, b, c, d £ 1.<br />

Statement I: The probability that the system of equations<br />

has a unique solution.<br />

Statement II: The probability that the system of equations<br />

has a solution is 1.<br />

[IIT-JEE, 2008]<br />

86. Comprehensive Link Passage<br />

A fair die is tossed repeated until a six is obtained. Let<br />

X denotes the number of tosses required.<br />

(i) The probability that X = 3 equals<br />

(a) 25/216 (b) 25/36<br />

(c) 5/36 (d) 125/216<br />

(ii) The probability that X ≥ 3 equals<br />

(a) 125/216 (b) 25/36<br />

(c) 5/36 (d) 25/216.<br />

(iii) The conditional probability that X ≥ 6 is given X ><br />

3 equals<br />

(a) 125/216 (b) 25/36<br />

(c) 5/36 (d) 25/216.<br />

[IIT-JEE, 2009]<br />

87. Let w be a complex cube root of unity with w π 1. A fair<br />

die is thrown three times.<br />

If r 1<br />

, r 2<br />

and r 3<br />

, are the numbers obtained on the die, the<br />

r<br />

probability that w<br />

1<br />

+ w<br />

2<br />

+ w<br />

3<br />

= 0 is<br />

r<br />

(a) 1/18 (b) 1/9 (c) 2/9 (d) 1/36<br />

[IIT-JEE, 2010]<br />

r

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