JEE Mathematics Probability MCQs Set 23

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Chapter-wise Objective Questions: Probability

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Multiple Choice Questions

Question 1: Three events A, B, C are such that exactly one of them must happen. The odds are 8 to 3 against A and 5 to 2 against B. The odds against C are:
(a) 43 : 34
(b) 34 : 43
(c) 34 : 77
(d) 77 : 43
Show Answer & Explanation

Answer: (a) 43 : 34

Explanation:
1. Odds 8 : 3 against A give \( P(A)=\frac{3}{11} \); odds 5 : 2 against B give \( P(B)=\frac27 \).
2. Exactly one event must happen, so \( P(C)=1-\frac3{11}-\frac27=\frac{34}{77} \).
3. Odds against C = \( (1-P(C)) : P(C)=43:34 \).

Teacher's Note:
1. Odds against an event are (not happening) : (happening).
2. The three probabilities add up to 1.

Question 2: The letters of the word BANANA are arranged at random. The probability that the arrangement does not contain the pattern BAN (the three letters together in this order) is:
(a) \( \frac{1}{5} \)
(b) \( \frac{4}{5} \)
(c) \( \frac{3}{5} \)
(d) \( \frac{2}{3} \)
Show Answer & Explanation

Answer: (b) \( \frac{4}{5} \)

Explanation:
1. Total arrangements: \( \frac{6!}{3!\,2!}=60 \).
2. Treat BAN as one block; with the remaining letters A, A, N there are \( \frac{4!}{2!}=12 \) arrangements containing the pattern.
3. Required probability \( =1-\frac{12}{60}=\frac45 \).

Teacher's Note:
1. Count the unwanted case by gluing the three letters together.
2. B occurs only once, so the pattern cannot be counted twice.

Question 3: Nine cards are labelled 0, 1, 2, ..., 8. Two cards are drawn at random and placed in succession to form a number (for example 07 is seven, 42 is forty-two). The probability that the number is even is:
(a) \( \frac{5}{9} \)
(b) \( \frac{5}{8} \)
(c) \( \frac{4}{9} \)
(d) \( \frac{1}{2} \)
Show Answer & Explanation

Answer: (a) \( \frac{5}{9} \)

Explanation:
1. The number is even exactly when the second card shows an even digit: 0, 2, 4, 6 or 8 (5 choices).
2. The first card can then be any of the other 8 cards, so favourable ordered pairs = 5 x 8 = 40.
3. Total ordered pairs = 9 x 8 = 72, so the probability is \( \frac{40}{72}=\frac59 \).

Teacher's Note:
1. Only the last digit decides parity; a leading 0 does not matter.
2. Count ordered pairs, not combinations.

Question 4: Three persons A, B, C are among 8 people who speak one after another at random. The probability that A speaks before B and B speaks before C is:
(a) \( \frac{1}{8} \)
(b) \( \frac{1}{2} \)
(c) \( \frac{1}{6} \)
(d) \( \frac{1}{3} \)
Show Answer & Explanation

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

Explanation:
1. Only the relative order of A, B, C matters.
2. Their 3! = 6 possible orders are equally likely and exactly one is A, B, C.
3. So the probability is \( \frac{1}{6} \).

Teacher's Note:
1. Ignore the other 5 speakers; they do not change the relative order of A, B, C.
2. Each of the six orders of three persons is equally likely.

Question 5: Three of the six vertices of a regular hexagon are chosen at random. If the probability that the triangle formed is equilateral is p, then 100p equals:
(a) 20
(b) 25
(c) 10
(d) 5
Show Answer & Explanation

Answer: (c) 10

Explanation:
1. Number of triangles: \( \binom63=20 \).
2. A regular hexagon contains exactly 2 equilateral triangles (alternate vertices).
3. So \( p=\frac{2}{20}=\frac1{10} \) and 100p = 10.

Teacher's Note:
1. Equilateral triangles need vertices that are two steps apart.
2. There are only two ways to choose alternate vertices.

Question 6: Before a race the chances of runners A, B, C winning were proportional to 5, 3, 2. A then meets with an accident and his chance falls to \( \frac{1}{3} \). If B and C keep their relative chances, their new chances are respectively:
(a) \( \frac{1}{5} \) and \( \frac{1}{2} \)
(b) \( \frac{1}{3} \) and \( \frac{1}{3} \)
(c) \( \frac{3}{10} \) and \( \frac{1}{5} \)
(d) \( \frac{2}{5} \) and \( \frac{4}{15} \)
Show Answer & Explanation

Answer: (d) \( \frac{2}{5} \) and \( \frac{4}{15} \)

Explanation:
1. Original chances: A = 1/2, B = 3/10, C = 1/5.
2. A now has \( \frac{1}{3} \), so B and C share \( \frac{2}{3} \) in the ratio 3 : 2.
3. B = \( \frac23\cdot\frac35=\frac25 \) and C = \( \frac23\cdot\frac25=\frac4{15} \).

Teacher's Note:
1. Total probability is still 1.
2. Share the remainder in the old ratio 3 : 2.

Question 7: A ticket is picked at random from tickets numbered 1 to 100. The probability that its number is divisible by 5 or 8 is:
(a) \( \frac{1}{4} \)
(b) \( \frac{3}{10} \)
(c) \( \frac{33}{100} \)
(d) \( \frac{2}{5} \)
Show Answer & Explanation

Answer: (b) \( \frac{3}{10} \)

Explanation:
1. Multiples of 5: 20; multiples of 8: 12; multiples of 40: 2.
2. Using inclusion-exclusion, 20 + 12 - 2 = 30 numbers qualify.
3. Probability \( =\frac{30}{100}=\frac3{10} \).

Teacher's Note:
1. Numbers divisible by both 5 and 8 are counted twice.
2. Both means divisible by LCM = 40.

Question 8: Three cards are drawn at random from a well shuffled pack of 52 cards. The probability that all three are of the same suit is:
(a) \( \frac{11}{425} \)
(b) \( \frac{44}{425} \)
(c) \( \frac{13}{425} \)
(d) \( \frac{22}{425} \)
Show Answer & Explanation

Answer: (d) \( \frac{22}{425} \)

Explanation:
1. Choose the suit in 4 ways and 3 cards of that suit in \( \binom{13}{3}=286 \) ways: 1144 favourable cases.
2. Total ways \( \binom{52}3=22100 \).
3. Probability \( =\frac{1144}{22100}=\frac{22}{425} \).

Teacher's Note:
1. Do not forget the factor 4 for the choice of suit.
2. Reduce the fraction by dividing by 52.

Question 9: Six boys and six girls sit in a row at random. The probability that boys and girls sit alternately is:
(a) \( \frac{1}{924} \)
(b) \( \frac{1}{231} \)
(c) \( \frac{1}{66} \)
(d) \( \frac{1}{462} \)
Show Answer & Explanation

Answer: (d) \( \frac{1}{462} \)

Explanation:
1. There are two alternating patterns (boy first or girl first).
2. Each pattern has 6! x 6! arrangements, so favourable = 2 x 6! x 6!.
3. Total = 12!, so the probability is \( \frac{2\,(6!)^2}{12!}=\frac{2}{924}=\frac1{462} \).

Teacher's Note:
1. Use 12!/(6! 6!) = C(12, 6) = 924.
2. Two patterns: BGBG... and GBGB....

Question 10: Four cards are drawn from an ordinary pack. The probability that no two of them have the same value (rank) is:
(a) \( \frac{\binom{13}{4}\,4!}{\binom{52}{4}} \)
(b) \( \frac{\binom{13}{4}\,4^4}{\binom{52}{4}} \)
(c) \( \frac{\binom{13}{4}\,4}{\binom{52}{4}} \)
(d) \( \frac{13\cdot12\cdot11\cdot10}{\binom{52}{4}} \)
Show Answer & Explanation

Answer: (b) \( \frac{\binom{13}{4}\,4^4}{\binom{52}{4}} \)

Explanation:
1. Choose 4 different ranks from 13 in \( \binom{13}{4} \) ways.
2. For each chosen rank pick any of its 4 suits: \( 4^4 \) ways.
3. Probability \( =\frac{\binom{13}{4}4^4}{\binom{52}{4}}=\frac{2816}{4165} \).

Teacher's Note:
1. Choose ranks first, then a suit for each rank.
2. The cards are drawn as a set, so order is not counted.

Question 11: Three clubs have 40, 50 and 60 members. 10 persons belong to all three clubs and 70 belong to exactly one club. A member of the town (belonging to at least one club) is chosen at random. The probability that the person belongs to exactly two clubs is:
(a) \( \frac{5}{21} \)
(b) \( \frac{1}{3} \)
(c) \( \frac{2}{7} \)
(d) \( \frac{10}{21} \)
Show Answer & Explanation

Answer: (a) \( \frac{5}{21} \)

Explanation:
1. Sum of memberships = 40 + 50 + 60 = 150 = 1(70) + 2(x) + 3(10), where x is the number in exactly two clubs.
2. So 2x = 150 - 70 - 30 = 50 and x = 25.
3. Total persons = 70 + 25 + 10 = 105, so probability \( =\frac{25}{105}=\frac5{21} \).

Teacher's Note:
1. Each person is counted once for every club he belongs to.
2. Total persons = exactly one + exactly two + all three.

Question 12: If P(A) = 0.4, P(B) = 0.48 and \( P(A\cap B)=0.16 \), then the probability that exactly one of A and B occurs is:
(a) 0.32
(b) 0.56
(c) 0.72
(d) 0.44
Show Answer & Explanation

Answer: (b) 0.56

Explanation:
1. P(A and not B) = 0.4 - 0.16 = 0.24.
2. P(B and not A) = 0.48 - 0.16 = 0.32.
3. Exactly one occurs: 0.24 + 0.32 = 0.56.

Teacher's Note:
1. Exactly one = P(A) + P(B) - 2P(A and B).
2. 0.4 + 0.48 - 0.32 = 0.56.

Question 13: In a family with two children it is known that at least one child is a boy. The probability that the other child is a girl is:
(a) \( \frac{3}{4} \)
(b) \( \frac{2}{3} \)
(c) \( \frac{1}{2} \)
(d) \( \frac{1}{3} \)
Show Answer & Explanation

Answer: (b) \( \frac{2}{3} \)

Explanation:
1. Sample space (older, younger): BB, BG, GB, GG.
2. At least one boy leaves BB, BG, GB, which are equally likely.
3. The other child is a girl in BG and GB, so the probability is \( \frac{2}{3} \).

Teacher's Note:
1. Condition on 'at least one boy', not on a named child.
2. If the older child is specified as a boy, the answer would be 1/2.

Question 14: The odds against an event are 5 : 2, and the odds in favour of another, independent event are 6 : 5. The probability that at least one of the two events happens is:
(a) \( \frac{60}{77} \)
(b) \( \frac{12}{77} \)
(c) \( \frac{25}{77} \)
(d) \( \frac{52}{77} \)
Show Answer & Explanation

Answer: (d) \( \frac{52}{77} \)

Explanation:
1. First event: \( P=\frac27 \); second event: \( P=\frac6{11} \).
2. Neither happens with probability \( \frac57\cdot\frac5{11}=\frac{25}{77} \).
3. At least one: \( 1-\frac{25}{77}=\frac{52}{77} \).

Teacher's Note:
1. Use independence: P(neither) = product of the complements.
2. Convert odds to probabilities first.

Question 15: Six persons A, B, C, D, E, F are arranged in a row. Given that A and B are together, the probability that C and D are separated (not adjacent) is:
(a) \( \frac{2}{5} \)
(b) \( \frac{3}{5} \)
(c) \( \frac{4}{5} \)
(d) \( \frac{1}{2} \)
Show Answer & Explanation

Answer: (b) \( \frac{3}{5} \)

Explanation:
1. Treat AB as one block: arrangements with A, B together = 2 x 5! = 240.
2. Now count those with C, D adjacent: blocks AB and CD plus E, F give 4! x 2 x 2 = 96.
3. So C, D separated in 240 - 96 = 144 cases and the conditional probability is \( \frac{144}{240}=\frac35 \).

Teacher's Note:
1. Conditional probability = favourable inside the reduced sample space.
2. Count the complement (C and D together) and subtract.

Question 16: In class XI and class XII, 5 of 50 and 8 of 50 students respectively are brilliant. The odds in favour of choosing class XI are 2 : 3. One class is chosen and then a student from it is selected at random. The probability that the student is brilliant is:
(a) \( \frac{3}{25} \)
(b) \( \frac{17}{125} \)
(c) \( \frac{13}{100} \)
(d) \( \frac{1}{10} \)
Show Answer & Explanation

Answer: (b) \( \frac{17}{125} \)

Explanation:
1. P(class XI) = 2/5 and P(class XII) = 3/5.
2. P(brilliant | XI) = 5/50 = 1/10 and P(brilliant | XII) = 8/50 = 4/25.
3. Total probability \( =\frac25\cdot\frac1{10}+\frac35\cdot\frac4{25}=\frac{17}{125} \).

Teacher's Note:
1. Use the theorem of total probability.
2. Weight each class by its chance of being chosen.

Question 17: Box I has 5 red and 2 blue balls, box II has 2 red and 6 blue balls. A fair coin is tossed; on heads a ball is drawn from box I, otherwise from box II. Given that the ball drawn is blue, the probability that it came from box I is:
(a) \( \frac{2}{7} \)
(b) \( \frac{21}{29} \)
(c) \( \frac{8}{29} \)
(d) \( \frac{3}{8} \)
Show Answer & Explanation

Answer: (c) \( \frac{8}{29} \)

Explanation:
1. P(blue) = \( \frac12\cdot\frac27+\frac12\cdot\frac68=\frac{29}{56} \).
2. P(box I and blue) = \( \frac12\cdot\frac27=\frac17=\frac8{56} \).
3. Bayes' theorem: \( \frac{8/56}{29/56}=\frac8{29} \).

Teacher's Note:
1. Required probability = P(box I and blue) / P(blue).
2. This is a Bayes' theorem problem.

Question 18: Two cards are drawn successively without replacement from a well shuffled pack. Given that the second card is a king, the probability that the first card is also a king is:
(a) \( \frac{3}{52} \)
(b) \( \frac{4}{51} \)
(c) \( \frac{1}{13} \)
(d) \( \frac{1}{17} \)
Show Answer & Explanation

Answer: (d) \( \frac{1}{17} \)

Explanation:
1. P(both kings) = \( \frac4{52}\cdot\frac3{51} \).
2. P(second is a king) = 4/52 = 1/13.
3. Ratio: \( \frac{(4\cdot3)/(52\cdot51)}{1/13}=\frac3{51}=\frac1{17} \).

Teacher's Note:
1. By symmetry, fixing the second card as a king leaves 51 cards, 3 of them kings.
2. Conditional probability = P(both) / P(second).

Question 19: In a building programme, M is the event that all materials are delivered on time and F is the event that the programme is completed on time. If P(M) = 0.8, \( P(M\cap F)=0.65 \) and P(F) = 0.7, the probability that the programme is completed on time given that materials are not delivered on time is:
(a) \( \frac{13}{20} \)
(b) \( \frac{1}{4} \)
(c) \( \frac{1}{5} \)
(d) \( \frac{7}{20} \)
Show Answer & Explanation

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

Explanation:
1. \( P(F\cap M')=P(F)-P(M\cap F)=0.7-0.65=0.05 \).
2. P(M') = 1 - 0.8 = 0.2.
3. Required \( =\frac{0.05}{0.2}=\frac14 \).

Teacher's Note:
1. Split F into the parts with M and without M.
2. Divide by P(M'), not P(F).

Question 20: A coin is tossed 14 times. The probability that exactly 13 of the tosses are tails (that is, 13 losses out of 14) is:
(a) \( \frac{1}{16384} \)
(b) \( \frac{1}{1024} \)
(c) \( \frac{13}{16384} \)
(d) \( \frac{7}{8192} \)
Show Answer & Explanation

Answer: (d) \( \frac{7}{8192} \)

Explanation:
1. Number of ways: \( \binom{14}{13}=14 \).
2. Each sequence has probability \( (1/2)^{14}=\frac1{16384} \).
3. Probability \( =\frac{14}{16384}=\frac7{8192} \).

Teacher's Note:
1. Use the binomial formula with p = 1/2.
2. C(14, 13) = 14.

Question 21: A multiple choice test has 10 questions, each with 4 options of which one or more may be correct. A student marks answers at random, choosing any non-empty set of options for each question with equal chance. The probability that exactly two questions are correct is:
(a) \( \binom{10}{2}\left(\frac1{15}\right)^8\left(\frac{14}{15}\right)^2 \)
(b) \( \binom{10}{2}\left(\frac14\right)^2\left(\frac34\right)^8 \)
(c) \( \binom{10}{2}\left(\frac1{15}\right)^2\left(\frac{14}{15}\right)^8 \)
(d) \( \binom{10}{2}\left(\frac1{16}\right)^2\left(\frac{15}{16}\right)^8 \)
Show Answer & Explanation

Answer: (c) \( \binom{10}{2}\left(\frac1{15}\right)^2\left(\frac{14}{15}\right)^8 \)

Explanation:
1. Non-empty subsets of 4 options: \( 2^4-1=15 \), only one of which is the correct set, so \( p=\frac1{15} \) per question.
2. Exactly two correct out of 10 is binomial with n = 10, r = 2.
3. Probability \( =\binom{10}{2}\left(\frac1{15}\right)^2\left(\frac{14}{15}\right)^8 \).

Teacher's Note:
1. Count the possible answers per question before using the binomial formula.
2. Empty selection is not an attempt.

Question 22: An unbiased die is thrown a fixed number of times. If the probability of getting an even number 3 times equals the probability of getting an even number 4 times, then the probability of getting an even number exactly once is:
(a) \( \frac{7}{128} \)
(b) \( \frac{5}{64} \)
(c) \( \frac{3}{128} \)
(d) \( \frac{1}{4} \)
Show Answer & Explanation

Answer: (a) \( \frac{7}{128} \)

Explanation:
1. With p = 1/2: \( \binom n3=\binom n4 \) gives n = 7.
2. P(exactly once) = \( \binom71\left(\frac12\right)^7=\frac7{128} \).

Teacher's Note:
1. C(n, 3) = C(n, 4) means 3 + 4 = n.
2. All terms carry (1/2)^n.

Question 23: A and B throw one die each; the stake of Rs. 99 goes to the player who first throws a 4, and A throws first. Their respective expectations (in rupees) are:
(a) 45 and 54
(b) 50 and 49
(c) 54 and 45
(d) 33 and 66
Show Answer & Explanation

Answer: (c) 54 and 45

Explanation:
1. P(A wins) = \( \frac16\left[1+\left(\frac56\right)^2+\dots\right]=\frac{1/6}{1-25/36}=\frac6{11} \).
2. P(B wins) = 5/11.
3. Expectations: 99 x 6/11 = 54 and 99 x 5/11 = 45.

Teacher's Note:
1. Sum the infinite geometric series of A's winning turns.
2. Expectation = stake x probability of winning.

Question 24: A fair coin is tossed 99 times and X is the number of heads. If P(X = r) is maximum, the sum of all possible values of r is:
(a) 104
(b) 99
(c) 98
(d) 101
Show Answer & Explanation

Answer: (b) 99

Explanation:
1. For n = 99, the binomial coefficients \( \binom{99}{r} \) are largest at r = 49 and r = 50 (equal).
2. Sum of possible r = 49 + 50 = 99.

Teacher's Note:
1. For odd n the two middle terms are equal and largest.
2. The middle terms are r = (n - 1)/2 and (n + 1)/2.

Question 25: If an integer q is chosen at random in the interval \( -10\le q\le10 \), the probability that the roots of \( x^2+qx+\frac{3q}4+1=0 \) are real is:
(a) \( \frac{14}{21} \)
(b) \( \frac{17}{21} \)
(c) \( \frac{16}{21} \)
(d) \( \frac{15}{21} \)
Show Answer & Explanation

Answer: (b) \( \frac{17}{21} \)

Explanation:
1. Real roots need \( q^2-3q-4\ge0 \), i.e. \( (q-4)(q+1)\ge0 \), so \( q\le-1 \) or \( q\ge4 \).
2. Integers: -10 to -1 (10 values) and 4 to 10 (7 values): 17 favourable.
3. Total integers: 21, so the probability is \( \frac{17}{21} \).

Teacher's Note:
1. Use the discriminant condition D >= 0.
2. Count the integers in each valid range.

Probability Objective Questions & Solutions for JEE Mathematics

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