JEE Mathematics Probability MCQs Set 18

Multiple Choice Questions (MCQs) for JEE Mathematics: Probability

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Multiple Choice Questions

Question 1: A coin is tossed 2 times. The probability of getting one head and one tail is
(a) \( \frac{1}{4} \)
(b) \( \frac{1}{2} \)
(c) \( \frac{3}{4} \)
(d) \( \frac{1}{3} \)
Show Answer & Explanation

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

Explanation:
1. Sample space S = {HH, HT, TH, TT}, so n(S) = 4.
2. Favourable outcomes are {HT, TH}, so n(A) = 2.
3. P(A) = 2/4 = 1/2.

Teacher's Note:
1. List the outcomes in order before counting, so that HT and TH are treated as different outcomes. Always check that the outcomes are equally likely.

Question 2: The probability that a non-leap year will have 53 Fridays is
(a) \( \frac{2}{7} \)
(b) \( \frac{1}{7} \)
(c) \( \frac{5}{7} \)
(d) \( \frac{1}{52} \)
Show Answer & Explanation

Answer: (b) \( \frac{1}{7} \)

Explanation:
1. A non-leap year has 52 weeks and 1 extra day.
2. The extra day can be any of the 7 days of the week, all equally likely.
3. P(53 Fridays) = 1/7.

Teacher's Note:
1. Count only the extra days beyond complete weeks. A non-leap year has one extra day and a leap year has two.

Question 3: The probability that a leap year will have only 52 Sundays is
(a) \( \frac{1}{7} \)
(b) \( \frac{6}{7} \)
(c) \( \frac{5}{7} \)
(d) \( \frac{2}{7} \)
Show Answer & Explanation

Answer: (c) \( \frac{5}{7} \)

Explanation:
1. A leap year has 52 weeks and 2 consecutive extra days.
2. There are 7 equally likely pairs of consecutive days: (Sun,Mon), (Mon,Tue), ..., (Sat,Sun).
3. A leap year has 53 Sundays if the pair contains Sunday: (Sat,Sun) or (Sun,Mon), that is 2 pairs.
4. P(only 52 Sundays) = 1 - 2/7 = 5/7.

Teacher's Note:
1. Use the complement when the required case contains most of the outcomes. Remember that two consecutive days are involved in a leap year.

Question 4: In a simultaneous throw of two dice, the probability of A or B, where A = sum of 11 points and B = an odd number on each die, is
(a) \( \frac{2}{36} \)
(b) \( \frac{1}{4} \)
(c) \( \frac{11}{36} \)
(d) \( \frac{9}{36} \)
Show Answer & Explanation

Answer: (c) \( \frac{11}{36} \)

Explanation:
1. A = {(5,6),(6,5)}, so P(A) = 2/36.
2. B: each die shows 1, 3 or 5, so P(B) = (3/6)(3/6) = 9/36.
3. A and B are mutually exclusive because a sum of 11 needs one even number.
4. P(A or B) = 2/36 + 9/36 = 11/36.

Teacher's Note:
1. Check whether the events overlap before adding probabilities. If they are mutually exclusive, the addition is direct.

Question 5: One ticket is selected at random from 50 tickets numbered 00, 01, 02, ..., 49. The probability that the sum of the digits on the ticket is 8, given that the product of the digits is zero, is
(a) \( \frac{1}{7} \)
(b) \( \frac{1}{50} \)
(c) \( \frac{1}{14} \)
(d) \( \frac{5}{14} \)
Show Answer & Explanation

Answer: (c) \( \frac{1}{14} \)

Explanation:
1. Product zero: 00, 01, ..., 09 (10 tickets) and 10, 20, 30, 40 (4 tickets), so n = 14.
2. Among these, digit sum 8 occurs only for 08.
3. Required probability = 1/14.

Teacher's Note:
1. In conditional probability the given event becomes the new sample space. Count only inside it.

Question 6: Three different numbers are chosen at random without replacement from {1, 2, 3, ..., 8}. The probability that their minimum is 3, given that their maximum is 6, is
(a) \( \frac{1}{3} \)
(b) \( \frac{2}{5} \)
(c) \( \frac{3}{8} \)
(d) \( \frac{1}{5} \)
Show Answer & Explanation

Answer: (d) \( \frac{1}{5} \)

Explanation:
1. Maximum 6: 6 is chosen and the other two come from {1,...,5}, so there are \( {}^5C_2 = 10 \) cases.
2. Minimum 3 as well: the other two numbers are 3 and one of {4, 5}, giving (3,4,6) and (3,5,6), that is 2 cases.
3. Required probability = 2/10 = 1/5.

Teacher's Note:
1. Fix the larger condition first and then count the cases of the second event inside it. Do not count the cases from the whole sample space.

Question 7: In a class there are 12 boys and 4 girls. Three children are chosen one after another at random. The probability that all three are boys is
(a) \( \frac{9}{28} \)
(b) \( \frac{11}{28} \)
(c) \( \frac{3}{4} \)
(d) \( \frac{1}{4} \)
Show Answer & Explanation

Answer: (b) \( \frac{11}{28} \)

Explanation:
1. P = (12/16)(11/15)(10/14).
2. = 1320/3360 = 11/28.

Teacher's Note:
1. Without replacement the numerator and denominator both reduce by one at each step. This is the same as \( {}^{12}C_3/{}^{16}C_3 \).

Question 8: Let E, F and G be pairwise independent events with P(G) > 0 and \( P(E\cap F\cap G)=0 \). Then \( P(\bar E\cap\bar F\,|\,G) \) equals
(a) \( P(\bar E)-P(F) \)
(b) \( P(E)+P(F) \)
(c) \( P(E)-P(\bar F) \)
(d) \( P(\bar E)+P(\bar F) \)
Show Answer & Explanation

Answer: (a) \( P(\bar E)-P(F) \)

Explanation:
1. \( P(\bar E\cap\bar F\cap G)=P(G)-P(G\cap E)-P(G\cap F)+P(E\cap F\cap G) \).
2. Using pairwise independence and \( P(E\cap F\cap G)=0 \): \( = P(G)[1-P(E)-P(F)] \).
3. Dividing by P(G): \( 1-P(E)-P(F)=P(\bar E)-P(F) \).

Teacher's Note:
1. Write the complement intersection by inclusion-exclusion inside G. Pairwise independence lets each pair factor out P(G).

Question 9: A man speaks the truth 2 out of 3 times. He throws a die and reports that it is a six. The probability that it is actually a six is
(a) \( \frac{1}{6} \)
(b) \( \frac{2}{3} \)
(c) \( \frac{5}{7} \)
(d) \( \frac{2}{7} \)
Show Answer & Explanation

Answer: (d) \( \frac{2}{7} \)

Explanation:
1. Let A1: six occurs, A2: six does not occur; E: he reports six.
2. P(A1) = 1/6, P(E|A1) = 2/3; P(A2) = 5/6, P(E|A2) = 1/3.
3. Bayes: P(A1|E) = (1/6)(2/3) / [(1/6)(2/3) + (5/6)(1/3)] = 2/7.

Teacher's Note:
1. Bayes' theorem reverses the conditioning. Multiply along each branch ending in the report and divide by the total.

Question 10: An urn A contains 3 white and 5 black balls and urn B contains 6 white and 8 black balls. A ball is picked at random from A and transferred to B, then a ball is picked at random from B. The probability that it is white is
(a) \( \frac{7}{15} \)
(b) \( \frac{17}{40} \)
(c) \( \frac{6}{14} \)
(d) \( \frac{3}{8} \)
Show Answer & Explanation

Answer: (b) \( \frac{17}{40} \)

Explanation:
1. If a white ball is transferred (probability 3/8), B has 7 white out of 15.
2. If a black ball is transferred (probability 5/8), B has 6 white out of 15.
3. P = (3/8)(7/15) + (5/8)(6/15) = 21/120 + 30/120 = 51/120 = 17/40.

Teacher's Note:
1. This is a total probability problem: split by what was transferred. Remember that urn B has 15 balls after the transfer.

Question 11: A point is selected at random inside a circle of radius a. The probability that it is nearer to the centre than to the circumference is
(a) \( \frac{1}{4} \)
(b) \( \frac{3}{4} \)
(c) \( \frac{1}{2} \)
(d) \( \frac{1}{8} \)
Show Answer & Explanation

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

Explanation:
1. A point is nearer to the centre if its distance from the centre is less than a/2.
2. Favourable area = \( \pi (a/2)^2 = \frac{\pi a^2}{4} \).
3. Total area = \( \pi a^2 \), so P = 1/4.

Teacher's Note:
1. The distance to the circumference is a - r, so the dividing circle has radius a/2. In geometric probability use the ratio of areas.

Question 12: A coin is tossed 7 times. The probability of getting at least 4 consecutive heads is
(a) \( \frac{7}{64} \)
(b) \( \frac{5}{32} \)
(c) \( \frac{3}{16} \)
(d) \( \frac{1}{8} \)
Show Answer & Explanation

Answer: (b) \( \frac{5}{32} \)

Explanation:
1. Count the sequences of 7 tosses containing HHHH.
2. Listing by position of the first run of four heads gives 20 favourable sequences out of 128.
3. P = 20/128 = 5/32.

Teacher's Note:
1. For consecutive-run problems, listing by the starting position of the first run avoids double counting. The formula (n+2)/2^(m+1) with n = 3, m = 4 gives the same value.

Question 13: A coin is tossed 10 times. The probability that there is a run of exactly 6 consecutive heads is
(a) \( \frac{5}{256} \)
(b) \( \frac{7}{256} \)
(c) \( \frac{3}{128} \)
(d) \( \frac{1}{64} \)
Show Answer & Explanation

Answer: (b) \( \frac{7}{256} \)

Explanation:
1. The run of 6 heads must be bounded by tails (or the ends).
2. Run at the start: HHHHHH T followed by 3 free tosses: 8 sequences.
3. Run at the end: 3 free tosses then T HHHHHH: 8 sequences.
4. Run in the middle (starting at position 2, 3 or 4): T, 6 heads, T and 2 free tosses: 3 x 4 = 12 sequences.
5. Total 28 out of 1024 = 7/256.

Teacher's Note:
1. Treat the two ends separately from the middle positions, because a tail is needed only on the inner side. Check small cases by listing when in doubt.

Question 14: Two fair dice are rolled. The probability that the sum of the numbers on their faces is greater than or equal to 10 is
(a) \( \frac{1}{12} \)
(b) \( \frac{5}{36} \)
(c) \( \frac{1}{9} \)
(d) \( \frac{1}{6} \)
Show Answer & Explanation

Answer: (d) \( \frac{1}{6} \)

Explanation:
1. Sum 10: 3 ways, sum 11: 2 ways, sum 12: 1 way, total 6.
2. P = 6/36 = 1/6.

Teacher's Note:
1. For two dice the number of ways to get sum k is k - 1 for k up to 7 and 13 - k afterwards. Add the ways for each sum required.

Question 15: If 3 fair dice are rolled once, the probability of getting a sum of at least 10 is
(a) \( \frac{1}{2} \)
(b) \( \frac{5}{8} \)
(c) \( \frac{3}{8} \)
(d) \( \frac{7}{12} \)
Show Answer & Explanation

Answer: (b) \( \frac{5}{8} \)

Explanation:
1. The number of outcomes with sum at least 10 is 27 + 27 + 25 + 21 + 15 + 10 + 6 + 3 + 1 = 135.
2. P = 135/216 = 5/8.

Teacher's Note:
1. The number of ways to get sum k with three dice is the coefficient of x^k in (x + x² + ... + x^6)³. Add the counts for sums 10 to 18.

Question 16: Three persons A, B and C toss a coin in turn, A first, and the first to throw a head wins. The probability that A wins is
(a) \( \frac{1}{7} \)
(b) \( \frac{4}{7} \)
(c) \( \frac{1}{2} \)
(d) \( \frac{2}{7} \)
Show Answer & Explanation

Answer: (b) \( \frac{4}{7} \)

Explanation:
1. p = 1/2, q = 1/2.
2. P(A wins) = p/(1 - q³) = (1/2)/(1 - 1/8) = 4/7.

Teacher's Note:
1. For a game with k players taking turns, the first player wins with probability p/(1 - q^k). The three winning probabilities are in the ratio 1 : q : q².

Question 17: Three letters are placed at random in three addressed envelopes (one in each). The probability that exactly one letter goes into a wrongly addressed envelope is
(a) \( \frac{1}{6} \)
(b) \( \frac{1}{2} \)
(c) \( \frac{0}{1} \)
(d) \( \frac{1}{3} \)
Show Answer & Explanation

Answer: (c) \( \frac{0}{1} \)

Explanation:
1. If two letters are in correct envelopes the third has only one envelope left, which is its own.
2. So exactly one wrong placement is impossible.
3. P = 0.

Teacher's Note:
1. If n - 1 letters are in the right envelopes, the last one is forced into the right envelope too. Hence exactly one wrong is impossible.

Question 18: Three letters are placed at random in three addressed envelopes. The probability that all the letters go into wrongly addressed envelopes is
(a) \( \frac{1}{2} \)
(b) \( \frac{2}{3} \)
(c) \( \frac{1}{6} \)
(d) \( \frac{1}{3} \)
Show Answer & Explanation

Answer: (d) \( \frac{1}{3} \)

Explanation:
1. Number of derangements of 3 objects = 3!(1 - 1 + 1/2 - 1/6) = 2.
2. P = 2/6 = 1/3.

Teacher's Note:
1. Derangements of 3, 4, 5 objects are 2, 9, 44. Divide by n! for the probability.

Question 19: The letters of the word PROBABILITY are arranged at random. The probability that the order of the vowels remains the same is
(a) \( \frac{1}{6} \)
(b) \( \frac{1}{12} \)
(c) \( \frac{1}{24} \)
(d) \( \frac{1}{330} \)
Show Answer & Explanation

Answer: (b) \( \frac{1}{12} \)

Explanation:
1. The vowels are O, A, I, I (4 letters with I repeated).
2. Number of distinct orders of the vowels = 4!/2! = 12.
3. Only one of these 12 orders is the original, so P = 1/12.

Teacher's Note:
1. The vowels occupy fixed positions among themselves, so only their relative order matters. The repetition of I must be divided out.

Question 20: The letters of the word PROBABILITY are arranged at random. The probability that the relative positions of vowels and consonants remain unaltered is
(a) \( \frac{1}{12} \)
(b) \( \frac{1}{660} \)
(c) \( \frac{1}{165} \)
(d) \( \frac{1}{330} \)
Show Answer & Explanation

Answer: (d) \( \frac{1}{330} \)

Explanation:
1. Vowels: O, A, I, I (4!/2! arrangements). Consonants: P, R, B, B, L, T, Y (7!/2! arrangements).
2. Total arrangements = 11!/(2! 2!).
3. P = (4!/2!)(7!/2!) / (11!/(2!2!)) = 4!7!/11! = 1/330.

Teacher's Note:
1. Keep vowel positions and consonant positions fixed and count the arrangements inside each group. Divide by the total number of distinct arrangements.

Question 21: From a heap containing 10 pairs of shoes, 6 shoes are selected at random. The probability that there is no pair among the selected shoes is
(a) \( 1-\frac{{}^{10}C_6\times 2^6}{{}^{20}C_6} \)
(b) \( \frac{{}^{10}C_3\times 2^3}{{}^{20}C_6} \)
(c) \( \frac{{}^{10}C_6\times 2^6}{{}^{20}C_6} \)
(d) \( \frac{{}^{10}C_6}{{}^{20}C_6} \)
Show Answer & Explanation

Answer: (c) \( \frac{{}^{10}C_6\times 2^6}{{}^{20}C_6} \)

Explanation:
1. Total ways = \( {}^{20}C_6 \).
2. Choose 6 different pairs: \( {}^{10}C_6 \), and one shoe from each: \( 2^6 \).
3. P = \( \frac{{}^{10}C_6\times 2^6}{{}^{20}C_6} \).

Teacher's Note:
1. To avoid a pair, pick the pairs first and then one shoe from each chosen pair. The complement gives the probability of at least one pair.

Question 22: From a heap containing 10 pairs of shoes, 6 shoes are selected at random. The probability that exactly 2 pairs are present among them is
(a) \( \frac{42}{323} \)
(b) \( \frac{84}{323} \)
(c) \( \frac{21}{323} \)
(d) \( \frac{1}{6} \)
Show Answer & Explanation

Answer: (a) \( \frac{42}{323} \)

Explanation:
1. Choose 2 complete pairs: \( {}^{10}C_2 \).
2. The other 2 shoes come from 2 different pairs among the remaining 8, one shoe from each: \( {}^8C_2\times 2^2 \).
3. P = 45 x 28 x 4 / 38760 = 5040/38760 = 42/323.

Teacher's Note:
1. Exactly two pairs means the other two shoes must not form a pair. Count them as one shoe from each of two different pairs.

Question 23: Three subsets of a set with 5 elements are selected at random. The probability that they have no element in common is
(a) \( \left(\frac78\right)^3 \)
(b) \( \left(\frac12\right)^5 \)
(c) \( \left(\frac78\right)^5 \)
(d) \( \left(\frac58\right)^3 \)
Show Answer & Explanation

Answer: (c) \( \left(\frac78\right)^5 \)

Explanation:
1. For each element there are \( 2^3 = 8 \) ways of belonging or not belonging to the three subsets.
2. The element is in all three in only 1 way, so 7 of 8 ways are favourable.
3. The 5 elements are independent: P = (7/8)^5.

Teacher's Note:
1. Treat each element separately. An element belongs to the common part only if it is in all three subsets.

Question 24: A is a set containing n elements. A subset P is chosen at random. The set A is reconstructed by replacing the elements of P, and a subset Q is chosen at random again. The probability that P and Q have no common element is
(a) \( \frac{3^n}{5^n} \)
(b) \( \left(\frac34\right)^n \)
(c) \( \left(\frac12\right)^n \)
(d) \( \left(\frac14\right)^n \)
Show Answer & Explanation

Answer: (b) \( \left(\frac34\right)^n \)

Explanation:
1. Each element has 4 choices: in both, in P only, in Q only, in neither.
2. Only 'in both' is not allowed, so 3 choices per element are favourable.
3. P = 3^n/4^n.

Teacher's Note:
1. Count choices element by element, not subset by subset. The total number of ways to choose (P, Q) is 4^n.

Question 25: 5 biscuits are distributed among 10 beggars at random (each biscuit may go to any beggar). The probability that a particular beggar receives exactly 3 biscuits is
(a) \( \frac{1}{10^3} \)
(b) \( \frac{81}{10000} \)
(c) \( \frac{9}{10000} \)
(d) \( \frac{10\times 9}{10^5} \)
Show Answer & Explanation

Answer: (b) \( \frac{81}{10000} \)

Explanation:
1. Choose the 3 biscuits that go to the particular beggar: \( {}^5C_3 = 10 \).
2. The other 2 biscuits go to the other 9 beggars: \( 9^2 = 81 \).
3. Total ways = 10^5. P = 810/100000 = 81/10000.

Teacher's Note:
1. Each biscuit is a separate trial with 10 possible receivers. This is the binomial pattern with probability 1/10.

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