Mathematics Objective Questions and Answers: Probability
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Multiple Choice Questions
(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.
(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.
(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.
(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.
(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.
(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.
(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.
(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.
(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).
(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.
(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.
(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.
(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.
(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.
(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.
(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.
(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.
(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.
(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.
(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.
(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.
(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).
(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.
(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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