JEE Mathematics Probability MCQs Set 22

Multiple Choice Questions (MCQs) for JEE Mathematics: Probability

Review structured MCQ sets for JEE Mathematics Probability. Built according to official JEE guidelines, these downloadable questions support daily revision and core concept reinforcement.

Practice Probability MCQs for JEE Mathematics

Navigate directly to the 50 objective questions for Probability using the digital viewer below. Each practice set includes verified answer keys, allowing students to instantly cross-check their work and identify areas requiring further revision.

Multiple Choice Questions

Question 1: One Indian and four American men and their wives are to be seated randomly around a circular table. The conditional probability that the Indian man is seated adjacent to his wife, given that each American man is seated adjacent to his wife, is
(a) \( \frac15 \)
(b) \( \frac12 \)
(c) \( \frac13 \)
(d) \( \frac25 \)
Show Answer & Explanation

Answer: (d) \( \frac25 \)

Explanation:
1. Given that the 4 American couples sit together: treat them as 4 blocks (2 internal orders each) with the Indian man and wife as 2 separate people: \( 5!\cdot2^4 \) circular arrangements of 6 units... counted as \( (6-1)!\cdot2^4 \).
2. With the Indian couple also adjacent: 5 blocks give \( (5-1)!\cdot2^5 \) arrangements.
3. Probability \( \frac{4!\cdot2^5}{5!\cdot2^4}=\frac25 \).

Teacher's Note:
1. Identify the standard result or condition that applies and use it directly.
2. Substitute carefully and verify the answer with a quick check.

Question 2: A signal is green or red with probability \( \frac45 \) and \( \frac15 \) respectively. It is received by station A and then transmitted to station B. Each station receives the signal correctly with probability \( \frac34 \). If the signal received at B is green, the probability that the original signal was green is
(a) \( \frac35 \)
(b) \( \frac67 \)
(c) \( \frac9{20} \)
(d) \( \frac{20}{23} \)
Show Answer & Explanation

Answer: (d) \( \frac{20}{23} \)

Explanation:
1. \( P(B\text{ green}\mid G)=\left(\frac34\right)^2+\left(\frac14\right)^2=\frac58 \) and \( P(B\text{ green}\mid R)=2\cdot\frac34\cdot\frac14=\frac38 \).
2. Bayes: \( \frac{\frac45\cdot\frac58}{\frac45\cdot\frac58+\frac15\cdot\frac38}=\frac{20}{23} \).

Teacher's Note:
1. Identify the standard result or condition that applies and use it directly.
2. Substitute carefully and verify the answer with a quick check.

Question 3: A coin has its two faces marked 3 and 5. It is tossed 4 times. If \( \lambda \) is the probability that the sum is less than 15, then \( 16\lambda \) is equal to
(a) 3
(b) 8
(c) 5
(d) 1
Show Answer & Explanation

Answer: (c) 5

Explanation:
1. With \( k \) fives the sum is \( 12+2k \); \( 12+2k<15 \) means \( k\le1 \).
2. Favourable outcomes: \( \binom40+\binom41=5 \) out of 16, so \( \lambda=\frac5{16} \) and \( 16\lambda=5 \).

Teacher's Note:
1. Reduce the problem to a standard result and then substitute.
2. Verify the final value with a simple case.

Question 4: A card from a pack of 52 cards is lost. From the remaining cards two cards are drawn at random and both are spades. If \( p \) is the probability that the lost card is a spade, then \( 50p \) is equal to
(a) 12
(b) 11
(c) 13
(d) 10
Show Answer & Explanation

Answer: (b) 11

Explanation:
1. By Bayes' theorem: \( p=\frac{\frac{13}{52}\cdot\binom{12}{2}}{\frac{13}{52}\binom{12}{2}+\frac{39}{52}\binom{13}{2}} \).
2. This is \( \frac{13\cdot66}{13\cdot66+39\cdot78}=\frac{858}{3900}=\frac{11}{50} \).
3. So \( 50p=11 \).

Teacher's Note:
1. Condition on whether the lost card is a spade or not.
2. Compute likelihoods of drawing two spades in each case.

Question 5: A fair die is tossed repeatedly until a six is obtained. Let \( X \) be the number of tosses required. The probability that \( X=3 \) equals
(a) \( \frac5{36} \)
(b) \( \frac{25}{216} \)
(c) \( \frac{125}{216} \)
(d) \( \frac{25}{36} \)
Show Answer & Explanation

Answer: (b) \( \frac{25}{216} \)

Explanation:
1. Two non-sixes then a six: \( \left(\frac56\right)^2\cdot\frac16=\frac{25}{216} \).

Teacher's Note:
1. Identify the standard result or condition that applies and use it directly.
2. Substitute carefully and verify the answer with a quick check.

Question 6: There are \( n \) urns each containing \( n+1 \) balls; the \( i \)th urn contains \( i \) white and \( n+1-i \) red balls (i = 1, ..., n), n is even, E is the event of choosing an even-numbered urn, and all urns are equally likely to be selected; \( w \) is the event of drawing a white ball. Then \( P(w\mid E) \) is
(a) \( \frac{n+2}{2n+1} \)
(b) \( \frac n{n+1} \)
(c) \( \frac1{n+1} \)
(d) \( \frac{n+2}{2(n+1)} \)
Show Answer & Explanation

Answer: (d) \( \frac{n+2}{2(n+1)} \)

Explanation:
1. Given \( E \), urn \( i \) is even-numbered: \( i=2,4,\dots,n \) with equal probability \( \frac2n \) each.
2. Mean of \( i \) is \( \frac{n+2}2 \), so \( P(w|E)=\frac{(n+2)/2}{n+1}=\frac{n+2}{2(n+1)} \).

Teacher's Note:
1. Identify the standard result or condition that applies and use it directly.
2. Substitute carefully and verify the answer with a quick check.

Question 7: A bag contains 2 white balls and 1 black ball. A ball is drawn at random and returned; this is done \( n \) times. If the probability of drawing a white ball exactly three times is \( \frac{160}{729} \), then \( n \) is
(a) 4
(b) 7
(c) 5
(d) 6
Show Answer & Explanation

Answer: (d) 6

Explanation:
1. P(white) = \( \frac23 \). Probability of exactly 3 whites = \( {}^nC_3\left(\frac23\right)^3\left(\frac13\right)^{n-3} \).
2. For \( n=6 \): \( 20\cdot\frac8{27}\cdot\frac1{27}=\frac{160}{729} \) which matches.
3. Check other values: n = 5 gives 80/243 (not equal), n = 7 gives 560/2187 (not equal).

Teacher's Note:
1. Use the binomial distribution.
2. Test the options directly.

Question 8: An experiment has 10 equally likely outcomes. Let \( A \) and \( B \) be two non-empty events. If \( A \) consists of 4 outcomes, the number of outcomes that \( B \) must have so that \( A \) and \( B \) are independent is
(a) 4 or 8
(b) 3, 6 or 9
(c) 5 or 10
(d) 2, 4 or 8
Show Answer & Explanation

Answer: (c) 5 or 10

Explanation:
1. Independence: \( \frac{|A\cap B|}{10}=\frac4{10}\cdot\frac{|B|}{10} \), so \( |A\cap B|=\frac{2|B|}{5} \).
2. So \( |B| \) is a multiple of 5: \( |B|=5 \) (with 2 common outcomes) or \( |B|=10 \) (with 4 common outcomes).

Teacher's Note:
1. Identify the standard result or condition that applies and use it directly.
2. Substitute carefully and verify the answer with a quick check.

Question 9: Five horses are in a race and a man selects two of them at random and bets on them. All horses have equal chances of winning. The probability that the man selected the winning horse is
(a) \( \frac15 \)
(b) \( \frac{4}{25} \)
(c) \( \frac35 \)
(d) \( \frac25 \)
Show Answer & Explanation

Answer: (d) \( \frac25 \)

Explanation:
1. The winner is equally likely to be any of 5 horses.
2. The man's 2 horses cover 2 of the 5 possibilities, so the probability is \( \frac25 \).

Teacher's Note:
1. Equivalent: choose the winner first, then ask how likely the man's pair contains it.
2. Pairs containing a given horse: 4 out of 10.

Question 10: There are \( n \) urns each containing \( n+1 \) balls; the \( i \)th urn contains \( i \) white and \( n+1-i \) red balls. One urn is selected with probability proportional to its number \( i \) (\( i=1,\dots,n \)) and a ball is drawn from it; \( w \) is the event that the ball is white, \( u_i \) the event that urn \( i \) was selected. Then \( \lim_{n\to\infty}P(w) \) is
(a) 1
(b) \( \frac34 \)
(c) \( \frac23 \)
(d) \( \frac14 \)
Show Answer & Explanation

Answer: (c) \( \frac23 \)

Explanation:
1. Let urns be chosen with \( P(u_i)=\frac{2i}{n(n+1)} \) and \( P(w|u_i)=\frac{i}{n+1} \).
2. \( P(w)=\sum\frac{2i^2}{n(n+1)^2}=\frac{2n(n+1)(2n+1)}{6n(n+1)^2}=\frac{2n+1}{3(n+1)} \), which tends to \( \frac23 \).

Teacher's Note:
1. Identify the standard result or condition that applies and use it directly.
2. Substitute carefully and verify the answer with a quick check.

Question 11: A question paper contains 10 questions divided into two equal groups of 5. A candidate must attempt 6 questions, selecting not more than 4 from one group. The probability that the candidate selects an equal number of questions from the two groups is
(a) \( \frac35 \)
(b) \( \frac12 \)
(c) \( \frac25 \)
(d) \( \frac13 \)
Show Answer & Explanation

Answer: (b) \( \frac12 \)

Explanation:
1. Allowed splits: (3,3), (4,2), (2,4).
2. \( {}^5C_3\cdot{}^5C_3=100 \); \( 2\cdot{}^5C_4\cdot{}^5C_2=100 \); total 200.
3. Probability \( =\frac{100}{200}=\frac12 \).

Teacher's Note:
1. Count only the allowed selections.
2. Equal numbers means the (3,3) split.

Question 12: A fair die is tossed repeatedly until a six is obtained. Let \( X \) be the number of tosses required. The conditional probability that \( X\ge6 \) given \( X>3 \) equals
(a) \( \frac{125}{216} \)
(b) \( \frac{25}{36} \)
(c) \( \frac{25}{216} \)
(d) \( \frac5{36} \)
Show Answer & Explanation

Answer: (b) \( \frac{25}{36} \)

Explanation:
1. Memorylessness: \( P(X>5\mid X>3)=\frac{(5/6)^5}{(5/6)^3}=\frac{25}{36} \).

Teacher's Note:
1. Identify the standard result or condition that applies and use it directly.
2. Substitute carefully and verify the answer with a quick check.

Question 13: Let \( H_1,H_2,\dots,H_n \) be mutually exclusive and exhaustive events with \( P(H_i)>0 \), and \( E \) any event with \( 0<P(E)<1 \). Statement 1: \( P(H_i|E)>P(E|H_i)\cdot P(H_i) \) for \( i=1,\dots,n \). Statement 2: \( \sum_{i=1}^nP(H_i)=1 \). Which is correct?
(a) Both are true and Statement 2 explains Statement 1
(b) Statement 1 is false and Statement 2 is true
(c) Both are true but Statement 2 is not a correct explanation of Statement 1
(d) Statement 1 is true and Statement 2 is false
Show Answer & Explanation

Answer: (c) Both are true but Statement 2 is not a correct explanation of Statement 1

Explanation:
1. By Bayes' rule \( P(H_i|E)=\frac{P(E|H_i)P(H_i)}{P(E)} \) and \( 0<P(E)<1 \), so \( P(H_i|E)>P(E|H_i)P(H_i) \) (when \( P(E|H_i)>0 \)): Statement 1 is true.
2. Statement 2 is true for exhaustive mutually exclusive events but is not what makes Statement 1 hold (that is \( P(E)<1 \)).

Teacher's Note:
1. Identify the standard result or condition that applies and use it directly.
2. Substitute carefully and verify the answer with a quick check.

Question 14: A and B are independent events with \( P(A'\cap B)=\frac{2}{15} \) and \( P(A\cap B')=\frac16 \). Then \( P(B) \) is equal to
(a) \( \frac45\ \text{or}\ \frac16 \)
(b) \( \frac16\ \text{only} \)
(c) \( \frac15\ \text{or}\ \frac56 \)
(d) \( \frac45\ \text{only} \)
Show Answer & Explanation

Answer: (a) \( \frac45\ \text{or}\ \frac16 \)

Explanation:
1. Let \( P(A)=a,\ P(B)=b \): \( (1-a)b=\frac2{15} \) and \( a(1-b)=\frac16 \).
2. Subtracting: \( a-b=\frac1{30} \).
3. Substituting: \( 30b^2-29b+4=0 \), so \( b=\frac45 \) or \( \frac16 \).
4. Both give valid probabilities (\( a=\frac56 \) or \( \frac15 \)).

Teacher's Note:
1. Independence lets you multiply the probabilities of A (or its complement) and B (or its complement).
2. Check that both roots give a valid value of a.

Question 15: Consider the system \( ax+by=0,\ cx+dy=0 \), where \( a,b,c,d\in\{0,1\} \). Statement 1: the probability that the system has a unique solution is \( \frac38 \). Statement 2: the probability that the system has a solution is 1. Which is correct?
(a) Statement 1 is false and Statement 2 is true
(b) Both are true and Statement 2 explains Statement 1
(c) Statement 1 is true and Statement 2 is false
(d) Both are true but Statement 2 is not a correct explanation of Statement 1
Show Answer & Explanation

Answer: (d) Both are true but Statement 2 is not a correct explanation of Statement 1

Explanation:
1. A unique (trivial) solution needs \( ad-bc\ne0 \): either \( ad=1,bc=0 \) (3 cases) or \( ad=0,bc=1 \) (3 cases): 6 of 16, i.e. \( \frac38 \).
2. A homogeneous system always has the trivial solution (probability 1). This does not explain the value \( \frac38 \).

Teacher's Note:
1. Identify the standard result or condition that applies and use it directly.
2. Substitute carefully and verify the answer with a quick check.

Question 16: A fair die is tossed repeatedly until a six is obtained. Let \( X \) be the number of tosses required. The probability that \( X>3 \) equals
(a) \( \frac5{36} \)
(b) \( \frac{125}{216} \)
(c) \( \frac{125}{126} \)
(d) \( \frac{25}{216} \)
Show Answer & Explanation

Answer: (b) \( \frac{125}{216} \)

Explanation:
1. The first three tosses are not sixes: \( \left(\frac56\right)^3=\frac{125}{216} \).

Teacher's Note:
1. Identify the standard result or condition that applies and use it directly.
2. Substitute carefully and verify the answer with a quick check.

Question 17: Let \( \omega\ne1 \) be a cube root of unity. A fair die is thrown three times giving \( r_1,r_2,r_3 \). The probability that \( \omega^{r_1}+\omega^{r_2}+\omega^{r_3}=0 \) is
(a) \( \frac29 \)
(b) \( \frac1{18} \)
(c) \( \frac1{26} \)
(d) \( \frac19 \)
Show Answer & Explanation

Answer: (a) \( \frac29 \)

Explanation:
1. Each throw gives residue 0, 1 or 2 (mod 3) with probability \( \frac13 \).
2. The sum is 0 only if the powers are \( 1,\omega,\omega^2 \) in some order (three equal powers sum to \( 3\omega^k\ne0 \)): probability \( \frac{3!}{27}=\frac29 \).

Teacher's Note:
1. Identify the standard result or condition that applies and use it directly.
2. Substitute carefully and verify the answer with a quick check.

Question 18: There are \( n \) urns each containing \( n+1 \) balls; the \( i \)th urn contains \( i \) white and \( n+1-i \) red balls (i = 1, ..., n) and each urn is chosen with the same probability c. Let \( w \) be the event of drawing a white ball and \( u_i \) the event of selecting urn \( i \). Then \( P(u_n\mid w) \) is
(a) \( \frac12 \)
(b) \( \frac2{n+1} \)
(c) \( \frac1{n+1} \)
(d) \( \frac n{n+1} \)
Show Answer & Explanation

Answer: (b) \( \frac2{n+1} \)

Explanation:
1. With \( c=\frac1n \): \( P(w)=\frac1n\sum\frac{i}{n+1}=\frac12 \).
2. By Bayes: \( P(u_n|w)=\frac{\frac1n\cdot\frac n{n+1}}{1/2}=\frac2{n+1} \).

Teacher's Note:
1. Identify the standard result or condition that applies and use it directly.
2. Substitute carefully and verify the answer with a quick check.

Multiple Choice Questions (MCQs) for JEE Mathematics Probability

About Probability MCQs for JEE Mathematics

Test your conceptual understanding of Probability with these targeted multiple-choice questions. Designed in alignment with the latest JEE curriculum for JEE Mathematics, these problem sets build accuracy and prepare students for objective exams.

How to Verify Your MCQ Answers

Cross-reference your completed choices with comprehensive NCERT solutions for JEE Mathematics to ensure absolute clarity across all sub-topics in this chapter.

Enhance Speed with Online MCQ Tests

Explore our broader library of printable assignments, chapter notes, and mock tests designed to support continuous revision and secure higher marks in JEE assessments.

FAQs

Where can I access latest JEE Mathematics Probability MCQs Set 22?

You can get most exhaustive JEE Mathematics Probability MCQs Set 22 for free on StudiesToday.com. These MCQs for JEE Mathematics are updated for the 2026-27 academic session as per JEE examination standards.

Are Assertion-Reasoning and Case-Study MCQs included in the Mathematics JEE material?

Yes, our JEE Mathematics Probability MCQs Set 22 include the latest type of questions, such as Assertion-Reasoning and Case-based MCQs. 50% of the JEE paper is now competency-based.

How do practicing Mathematics MCQs help in scoring full marks in JEE exams?

By solving our JEE Mathematics Probability MCQs Set 22, JEE students can improve their accuracy and speed which is important as objective questions provide a chance to secure 100% marks in the Mathematics.

Do you provide answers and explanations for JEE Mathematics Probability MCQs Set 22?

Yes, Mathematics MCQs for JEE have answer key and brief explanations to help students understand logic behind the correct option as its important for 2026 competency-focused JEE exams.

Can I practice these Mathematics JEE MCQs online?

Yes, you can also access online interactive tests for JEE Mathematics Probability MCQs Set 22 on StudiesToday.com as they provide instant answers and score to help you track your progress in Mathematics.