JEE Mathematics Probability MCQs Set 24

Mathematics Objective Questions and Answers: Probability

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Multiple Choice Questions

Question 1: Urn I contains m white and n black balls; urn II contains p white and q black balls. One ball is moved at random from urn I to urn II, and then a ball is drawn from urn II. The probability that this ball is white is:
(a) \( \frac{(p+1)m+2pn}{(m+n)(p+q+1)} \)
(b) \( \frac{(p+1)m+pn}{(m+n)(p+q+1)} \)
(c) \( \frac{(p+1)n+pm}{(m+n)(p+q+1)} \)
(d) \( \frac{(p+1)m+pn}{(m+n)(p+q-1)} \)
Show Answer & Explanation

Answer: (b) \( \frac{(p+1)m+pn}{(m+n)(p+q+1)} \)

Explanation:
1. If the moved ball is white (probability \( \frac{m}{m+n} \)), urn II has \( p+1 \) white balls among \( p+q+1 \).
2. If it is black (probability \( \frac{n}{m+n} \)), urn II has \( p \) white balls among \( p+q+1 \).
3. Total probability \( =\frac{m}{m+n}\cdot\frac{p+1}{p+q+1}+\frac{n}{m+n}\cdot\frac{p}{p+q+1}=\frac{(p+1)m+pn}{(m+n)(p+q+1)} \).

Teacher's Note:
1. Urn II always holds p + q + 1 balls after the transfer.
2. Split on the colour of the transferred ball.

Question 2: In a well shuffled pack of 52 cards it is given that the fourth card from the top is an eight. The probability that the top card is a diamond is:
(a) \( \frac{1}{4} \)
(b) \( \frac{1}{2} \)
(c) \( \frac{2}{5} \)
(d) \( \frac{2}{3} \)
Show Answer & Explanation

Answer: (a) \( \frac{1}{4} \)

Explanation:
1. If the fourth card is the eight of diamonds (probability \( \frac{1}{4} \)), the top card is a diamond with probability \( \frac{12}{51} \).
2. Otherwise (probability \( \frac{3}{4} \)) it is a diamond with probability \( \frac{13}{51} \).
3. Total \( =\frac14\cdot\frac{12}{51}+\frac34\cdot\frac{13}{51}=\frac{51}{204}=\frac14 \).

Teacher's Note:
1. Condition on the suit of the eight.
2. The answer equals the unconditional chance of a diamond.

Question 3: A fair coin is tossed 9 times. The probability that at least 5 consecutive heads occur is:
(a) \( \frac{5}{512} \)
(b) \( \frac{3}{32} \)
(c) \( \frac{5}{64} \)
(d) \( {}^9C_5\left(\frac12\right)^9 \)
Show Answer & Explanation

Answer: (b) \( \frac{3}{32} \)

Explanation:
1. Count the 9-bit strings containing HHHHH by listing the position of the first run of five heads.
2. Run at positions 1-5: 16 strings; first run at positions 2-6 (preceded by a tail): 8; 3-7: 8; 4-8: 8; 5-9: 8. Total 48.
3. Probability \( =\frac{48}{512}=\frac{3}{32} \).

Teacher's Note:
1. A run starting after position 1 must be preceded by a tail to avoid double counting.
2. Total outcomes are 512.

Question 4: A man has 10 coins, one of which has heads on both sides. He picks a coin at random and tosses it 5 times; it falls head every time. The probability that it is the two-headed coin is:
(a) \( \frac{19}{32} \)
(b) \( \frac{32}{41} \)
(c) \( \frac{23}{32} \)
(d) \( \frac{32}{51} \)
Show Answer & Explanation

Answer: (b) \( \frac{32}{41} \)

Explanation:
1. Two-headed coin chosen: probability \( \frac{1}{10} \), five heads certain.
2. Ordinary coin: probability \( \frac{9}{10} \), five heads with probability \( \frac1{32} \).
3. Bayes: \( \frac{\frac1{10}}{\frac1{10}+\frac9{10}\cdot\frac1{32}}=\frac{32}{41} \).

Teacher's Note:
1. Use Bayes' theorem with two hypotheses.
2. Compare 32 : 9 as odds.

Question 5: Two hunters A and B shoot at a bear together; the bear is found dead with exactly one bullet hole. A hits with probability 0.8 and B with probability 0.4. The hide is sold for Rs. 280 and shared fairly in proportion to the probability that each made the fatal hit. A's share is:
(a) Rs. 130
(b) Rs. 200
(c) Rs. 240
(d) Rs. 190
Show Answer & Explanation

Answer: (c) Rs. 240

Explanation:
1. Exactly one hit: A hits and B misses = 0.8 x 0.6 = 0.48; B hits and A misses = 0.2 x 0.4 = 0.08.
2. Given exactly one hit, P(A fired it) = 0.48 / 0.56 = 6/7.
3. A's share = (6/7) x 280 = Rs. 240.

Teacher's Note:
1. Condition on the event 'exactly one hole'.
2. Divide in the ratio 0.48 : 0.08 = 6 : 1.

Question 6: A number is chosen at random from 10, 11, ..., 99. A number is called good if the product of its digits is 12. If three numbers are chosen with replacement, the probability that at least one is good is (correct to three decimal places):
(a) 0.461
(b) 0.872
(c) 0.127
(d) 0.562
Show Answer & Explanation

Answer: (c) 0.127

Explanation:
1. Good numbers: 26, 62, 34, 43, so P(good) = 4/90 = 2/45.
2. P(none good in three draws) = \( \left(\frac{43}{45}\right)^3\approx0.8725 \).
3. Required probability = 1 - 0.8725 = 0.1275, which is 0.127 to three decimals.

Teacher's Note:
1. List all two-digit numbers whose digits multiply to 12.
2. Use the complement.

Question 7: Seven different digits are chosen from 1, 2, ..., 9 and written in random order to form a seven-digit number. If the probability that the number is divisible by 9 is p/q in lowest terms, then \( p^2+q^2 \) equals:
(a) 65
(b) 145
(c) 50
(d) 82
Show Answer & Explanation

Answer: (d) 82

Explanation:
1. The digits sum to 45 minus the two left-out digits, so divisibility by 9 needs the omitted pair to have a sum divisible by 9, that is, sum 9.
2. Such pairs: (1,8), (2,7), (3,6), (4,5): 4 of the \( \binom92=36 \) choices.
3. So \( \frac pq=\frac{4}{36}=\frac19 \) and \( p^2+q^2=1+81=82 \).

Teacher's Note:
1. Total of 1 to 9 is 45, a multiple of 9.
2. Order of the digits does not affect divisibility.

Question 8: Three firemen X, Y and Z shoot at a target. The probabilities that X and Y hit are 2/3 and 3/4 respectively. If the probability that exactly two bullets hit the target is 11/24, the probability that Z hits is:
(a) \( \frac{2}{3} \)
(b) \( \frac{1}{2} \)
(c) \( \frac{1}{3} \)
(d) \( \frac{3}{4} \)
Show Answer & Explanation

Answer: (b) \( \frac{1}{2} \)

Explanation:
1. Let z be Z's probability. Exactly two hits: \( \frac23\cdot\frac34(1-z)+\frac23\cdot\frac14z+\frac13\cdot\frac34z=\frac{11}{24} \).
2. This gives \( \frac12(1-z)+\frac16z+\frac14z=\frac{11}{24} \), that is \( \frac12-\frac{z}{12}=\frac{11}{24} \).
3. So \( z=\frac12 \).

Teacher's Note:
1. Add the three ways in which exactly two of the three can hit.
2. The equation is linear in z.

Question 9: A card is drawn from a pack and replaced, and the pack is shuffled. This is done 6 times. The probability that the cards drawn are 2 hearts, 2 diamonds and 2 black cards is p/q in lowest terms. The total number of divisors of \( \frac{pq}{2} \) (including 1 and itself) is:
(a) 60
(b) 52
(c) 48
(d) 54
Show Answer & Explanation

Answer: (d) 54

Explanation:
1. P(heart) = P(diamond) = 1/4 and P(black) = 1/2.
2. Probability \( =\frac{6!}{2!\,2!\,2!}\left(\frac14\right)^2\left(\frac14\right)^2\left(\frac12\right)^2=\frac{90}{1024}=\frac{45}{512} \).
3. Then \( \frac{pq}{2}=\frac{45\times512}{2}=11520=2^8\cdot3^2\cdot5 \), which has \( 9\times3\times2=54 \) divisors.

Teacher's Note:
1. Use the multinomial arrangement 6!/(2! 2! 2!).
2. Number of divisors = product of (exponent + 1).

Question 10: A three-volume dictionary is among 40 books arranged on a shelf in random order. The reciprocal of the probability that the three volumes stand in increasing order from left to right (not necessarily side by side) is:
(a) 3
(b) 40
(c) 6
(d) 120
Show Answer & Explanation

Answer: (c) 6

Explanation:
1. Only the relative order of the three volumes matters.
2. Of their 3! = 6 equally likely orders exactly one is increasing, so the probability is 1/6.
3. The reciprocal is 6.

Teacher's Note:
1. The other 37 books do not affect the relative order.
2. All 6 orders are equally likely.

Question 11: There are 4 urns. Urn 1 has 1 white and 1 black ball, urn 2 has 2 white and 3 black, urn 3 has 3 white and 5 black, and urn 4 has 4 white and 7 black. Urn i is selected with probability \( \frac{i^2+1}{34} \). One urn is selected and a ball drawn. The probability that the ball is white is:
(a) \( \frac{507}{1496} \)
(b) \( \frac{285}{748} \)
(c) \( \frac{83}{187} \)
(d) \( \frac{569}{1496} \)
Show Answer & Explanation

Answer: (d) \( \frac{569}{1496} \)

Explanation:
1. The selection probabilities are 2/34, 5/34, 10/34, 17/34, which add to 1.
2. P(white) \( =\frac{2}{34}\cdot\frac12+\frac5{34}\cdot\frac25+\frac{10}{34}\cdot\frac38+\frac{17}{34}\cdot\frac4{11} \).
3. This equals \( \frac{1}{34}\left(1+2+\frac{15}{4}+\frac{68}{11}\right)=\frac{569}{1496} \).

Teacher's Note:
1. Use the total probability theorem over the four urns.
2. Keep the selection weights unequal.

Question 12: A tea taster identifies high grade tea correctly with probability 0.9 (and calls it low grade with probability 0.1), and identifies low grade tea correctly with probability 0.8 (calling it high grade with probability 0.2). He is given ten cups, three of high grade and seven of low grade, picks one at random and says 'high grade'. The probability that the cup was actually low grade is:
(a) \( \frac{7}{10} \)
(b) \( \frac{1}{5} \)
(c) \( \frac{14}{41} \)
(d) \( \frac{27}{41} \)
Show Answer & Explanation

Answer: (c) \( \frac{14}{41} \)

Explanation:
1. P(says high) = 0.3 x 0.9 + 0.7 x 0.2 = 0.27 + 0.14 = 0.41.
2. P(low grade and says high) = 0.7 x 0.2 = 0.14.
3. Bayes: 0.14 / 0.41 = 14/41.

Teacher's Note:
1. The 'prior' proportions are 3 : 7.
2. Compute the total chance that he says 'high grade' first.

Question 13: A gambler has Re. 1. He tosses an unbiased coin repeatedly, stopping when he is ruined (has nothing) or when the coin has been tossed five times. Each head wins Re. 1 and each tail loses Re. 1. The probability that he is ruined is:
(a) \( \frac{5}{8} \)
(b) \( \frac{9}{16} \)
(c) \( \frac{11}{16} \)
(d) \( \frac{3}{4} \)
Show Answer & Explanation

Answer: (c) \( \frac{11}{16} \)

Explanation:
1. Ruin on the first toss: T, probability 1/2.
2. Ruin on the third toss: HTT, probability 1/8.
3. Ruin on the fifth toss: HHTTT or HTHTT, probability 2/32 = 1/16.
4. Total \( \frac12+\frac18+\frac1{16}=\frac{11}{16} \).

Teacher's Note:
1. Ruin can only occur after an odd number of tosses.
2. List the paths that first reach 0 at toss 1, 3, 5.

Question 14: A purse contains 10 coins: nine are of 5 paise and one is a rupee. Another purse contains 10 coins, all of 5 paise. Nine coins are taken at random from the first purse and put into the second, and then nine coins are taken at random from the second purse and put into the first. The probability that the rupee is again in the first purse is:
(a) \( \frac{1}{2} \)
(b) \( \frac{10}{19} \)
(c) \( \frac{9}{10} \)
(d) \( \frac{9}{19} \)
Show Answer & Explanation

Answer: (b) \( \frac{10}{19} \)

Explanation:
1. The rupee stays in the first purse during the first transfer with probability 1/10.
2. Otherwise (probability 9/10) it is in the second purse (19 coins), and it comes back with probability 9/19.
3. Total \( \frac1{10}+\frac9{10}\cdot\frac9{19}=\frac{19+81}{190}=\frac{10}{19} \).

Teacher's Note:
1. Two disjoint cases: the rupee never leaves, or it leaves and returns.
2. The second purse holds 19 coins at the moment of the return transfer.

Question 15: A teacher writes either PARALLELOGRAM or PARALLELOPIPED on the board (equally likely), but the marker fails and only two consecutive letters 'RA' are visible. The probability that the written word is PARALLELOGRAM is:
(a) \( \frac{7}{13} \)
(b) \( \frac{13}{19} \)
(c) \( \frac{6}{19} \)
(d) \( \frac{1}{2} \)
Show Answer & Explanation

Answer: (b) \( \frac{13}{19} \)

Explanation:
1. PARALLELOGRAM has 13 letters, so 12 consecutive pairs, and 'RA' occurs twice (PA-RA and G-RA-M).
2. PARALLELOPIPED has 14 letters, so 13 consecutive pairs, and 'RA' occurs once.
3. Bayes: \( \frac{\frac12\cdot\frac{2}{12}}{\frac12\cdot\frac2{12}+\frac12\cdot\frac1{13}}=\frac{1/6}{1/6+1/13}=\frac{13}{19} \).

Teacher's Note:
1. Count pairs of consecutive letters in each word.
2. Treat the visible pair as equally likely to be any pair.

Question 16: Of all used cars of a certain year, 30% have bad brakes. A mechanic checks a randomly chosen car; he gives a wrong report 20% of the time. Given that the mechanic says the brakes are good, the odds in favour of the brakes really being good are:
(a) 3 : 28
(b) 4 : 1
(c) 7 : 3
(d) 28 : 3
Show Answer & Explanation

Answer: (d) 28 : 3

Explanation:
1. P(good and says good) = 0.7 x 0.8 = 0.56.
2. P(bad and says good) = 0.3 x 0.2 = 0.06.
3. Odds = 0.56 : 0.06 = 28 : 3.

Teacher's Note:
1. Odds in favour = favourable : unfavourable, here good : bad given the report.
2. Do not use the prior odds 7 : 3.

Question 17: A bag contains (n + 1) coins, of which one has a head on both sides and the rest are fair. A coin is selected at random and tossed. If the probability that the toss gives a head is 7/12, then n equals:
(a) 6
(b) 4
(c) 5
(d) 7
Show Answer & Explanation

Answer: (c) 5

Explanation:
1. P(head) = \( \frac{1}{n+1}\cdot1+\frac{n}{n+1}\cdot\frac12=\frac{n+2}{2(n+1)} \).
2. Set \( \frac{n+2}{2(n+1)}=\frac7{12} \): \( 12n+24=14n+14 \).
3. So n = 5.

Teacher's Note:
1. Split on whether the two-headed coin is chosen.
2. Cross-multiply and solve the linear equation.

Question 18: Machines A, B and C produce 35%, 25% and 40% of a factory's bolts, of which 2%, 1% and 3% respectively are defective. A bolt is chosen at random and found defective. The odds in favour of its having been produced by machine C are:
(a) 19 : 24
(b) 12 : 31
(c) 24 : 19
(d) 24 : 43
Show Answer & Explanation

Answer: (c) 24 : 19

Explanation:
1. P(defective) = 0.35 x 0.02 + 0.25 x 0.01 + 0.40 x 0.03 = 0.007 + 0.0025 + 0.012 = 0.0215.
2. P(C | defective) = 0.012 / 0.0215 = 24/43.
3. Odds in favour = 24 : (43 - 24) = 24 : 19.

Teacher's Note:
1. Odds in favour = p : (1 - p).
2. 24 : 43 is the probability, not the odds.

Question 19: In a series of games the player who won the previous game wins the next game with probability 2/3. If the probability that the winner of the first game wins at least three of the next four games is p/q in lowest terms, then pq equals:
(a) 20
(b) 72
(c) 45
(d) 36
Show Answer & Explanation

Answer: (d) 36

Explanation:
1. Let W mean the first-game winner wins a game; after a win the chance of W winning again is 2/3, after a loss it is 1/3.
2. Summing over the 16 outcome sequences of the next four games with at least three wins gives \( \frac49 \).
3. Hence p = 4, q = 9 and pq = 36.

Teacher's Note:
1. The chance of winning a game depends on who won the game before it.
2. Enumerate sequences with 3 or 4 wins.

Question 20: A couple has one, two or three children with probabilities 1/4, 1/2 and 1/4 respectively, and each child in turn has one, two or three children with the same probabilities. If the probability that the couple has exactly four grandchildren is p/q in lowest terms, the sum of the digits of q is:
(a) 11
(b) 10
(c) 8
(d) 13
Show Answer & Explanation

Answer: (a) 11

Explanation:
1. Two children: probability 1/2, grandchildren total 4 when the pair has (1,3), (3,1) or (2,2): probability \( \frac1{4}\cdot\frac14\cdot2+\frac12\cdot\frac12=\frac38 \), contributing \( \frac12\cdot\frac38=\frac3{16} \).
2. One child (1/4): that child has 4 children, impossible. Three children (1/4): sum 4 from three children means (1,1,2) in 3 orders: \( 3\cdot\frac14\cdot\frac14\cdot\frac12=\frac{3}{32} \), contributing \( \frac14\cdot\frac3{32}=\frac{3}{128} \).
3. Total \( \frac{24}{128}+\frac{3}{128}=\frac{27}{128} \), so q = 128 and the digit sum is 11.

Teacher's Note:
1. Condition on the number of children of the couple.
2. Count the ordered ways the grandchildren total 4.

Question 21: In throwing a die, let A be the event 'an odd number', B 'an even number', C 'a number at least 4' and D 'a number less than 3'. Consider: (i) A and B are mutually exclusive and exhaustive; (ii) A and C are mutually exclusive and exhaustive; (iii) A, C, D form an exhaustive system; (iv) B, C, D form an exhaustive system. Which statements are correct?
(a) (i) and (iii) only
(b) (i) and (iv) only
(c) (ii) and (iii) only
(d) (i), (iii) and (iv) only
Show Answer & Explanation

Answer: (a) (i) and (iii) only

Explanation:
1. A = {1,3,5} and B = {2,4,6} are disjoint with union S, so (i) is true.
2. A and C share 5 and so are not mutually exclusive: (ii) is false.
3. A, C, D: {1,3,5} U {4,5,6} U {1,2} = S, so (iii) is true; B, C, D miss the outcome 3, so (iv) is false.

Teacher's Note:
1. Write each event as a set.
2. An exhaustive system must cover all six outcomes.

Question 22: For any two events M and N, which of the following represent the probability that exactly one of them occurs? (i) \( P(M)+P(N)-2P(M\cap N) \); (ii) \( P(M)+P(N)-P(M\cap N) \); (iii) \( P(\bar M)+P(\bar N)-2P(\bar M\cap\bar N) \); (iv) \( P(M\cap\bar N)+P(\bar M\cap N) \)
(a) (ii) and (iv) only
(b) (i) and (ii) only
(c) (i), (ii) and (iii) only
(d) (i), (iii) and (iv) only
Show Answer & Explanation

Answer: (d) (i), (iii) and (iv) only

Explanation:
1. Exactly one occurs means M only or N only: \( P(M\cap\bar N)+P(\bar M\cap N) \), which is (iv).
2. Since \( P(M\cap\bar N)=P(M)-P(M\cap N) \), this equals (i).
3. (ii) is P(M U N), not the required event. For (iii): \( (1-P(M))+(1-P(N))-2(1-P(M\cup N))=2P(M\cup N)-P(M)-P(N)=P(M)+P(N)-2P(M\cap N) \), so (iii) is also correct.

Teacher's Note:
1. Exactly one = A only + B only.
2. Rewrite (iii) with P(M' and N') = 1 - P(M U N).

Question 23: A bag has four tickets marked 112, 121, 211, 222. One ticket is drawn at random; let \( E_i \) be the event that the i-th digit of the ticket is 2 (i = 1, 2, 3). Which of the following are true? (i) \( E_1,E_2 \) independent; (ii) \( E_2,E_3 \) independent; (iii) \( E_3,E_1 \) independent; (iv) \( E_1,E_2,E_3 \) mutually independent.
(a) (i) and (iv) only
(b) (i), (ii), (iii) and (iv)
(c) (i), (ii) and (iii) only
(d) (iv) only
Show Answer & Explanation

Answer: (c) (i), (ii) and (iii) only

Explanation:
1. Each \( P(E_i)=\frac12 \) and each pair meets in exactly one ticket, so \( P(E_i\cap E_j)=\frac14=P(E_i)P(E_j) \): the events are pairwise independent.
2. All three occur only for 222: \( P(E_1\cap E_2\cap E_3)=\frac14 \).
3. But \( P(E_1)P(E_2)P(E_3)=\frac18\neq\frac14 \), so the three are not mutually independent.

Teacher's Note:
1. Pairwise independence is weaker than mutual independence.
2. Compare the triple intersection with the product.

Question 24: A JEE aspirant estimates that he will succeed with probability 0.8 if he studies 10 hours a day, 0.6 if he studies 7 hours and 0.4 if he studies 4 hours. He believes he will study 10, 7 and 4 hours a day with probabilities 0.1, 0.2 and 0.7 respectively. Given that he is successful, the probability that he studied for 4 hours is:
(a) \( \frac{6}{12} \)
(b) \( \frac{9}{12} \)
(c) \( \frac{8}{12} \)
(d) \( \frac{7}{12} \)
Show Answer & Explanation

Answer: (d) \( \frac{7}{12} \)

Explanation:
1. P(success) = 0.1 x 0.8 + 0.2 x 0.6 + 0.7 x 0.4 = 0.08 + 0.12 + 0.28 = 0.48.
2. P(4 hours and success) = 0.28.
3. Bayes: 0.28 / 0.48 = 7/12.

Teacher's Note:
1. Compute P(success) with the total probability theorem first.
2. Divide the 4-hour branch by the total.

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