JEE Mathematics Probability MCQs Set 31

Mathematics Objective Questions and Answers: Probability

Access targeted multiple-choice questions for Probability designed to align with the latest JEE academic syllabus for JEE Mathematics. These objective practice sets help students evaluate their conceptual understanding and improve exam readiness.

Download Probability MCQs with Answers

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Multiple Choice Questions

Question 1: Two aeroplanes I and II bomb a target in succession. The probabilities of I and II scoring a hit correctly are 0.3 and 0.2, respectively. The second plane will bomb only if the first misses the target. The probability that the target is hit by the second plane, is
(a) 0.06
(b) 0.14
(c) 0.32
(d) 0.7
Show Answer & Explanation

Answer: (c) 0.32

Explanation:
1. The first plane misses with probability 0.7 and the second misses with probability 0.8. Planes alternate until a hit.
2. \( P=(0.7)(0.2)+(0.7)(0.8)(0.7)(0.2)+\cdots=0.14\left[1+0.56+0.56^2+\cdots\right] \).
3. \( =\frac{0.14}{1-0.56}=\frac{0.14}{0.44}=\frac7{22}\approx0.32 \). Answer: (c)

Teacher's Note:
1. Write the probability of each round of misses.
2. Sum the geometric series.

Question 2: The average marks of boys in a class is 52 and that of girls is 42. The average marks of boys and girls combined is 50. The percentage of boys in the class is
(a) 40%
(b) 20%
(c) 80%
(d) 60%
Show Answer & Explanation

Answer: (c) 80%

Explanation:
1. Let there be \( x \) boys and \( y \) girls: \( 52x+42y=50(x+y)\Rightarrow2x=8y\Rightarrow x=4y \).
2. Boys form \( \frac{4y}{5y}\times100=80\% \). Answer: (c)

Teacher's Note:
1. Use the weighted mean.
2. Find the ratio of boys to girls.

Question 3: At a telephone enquiry system, the number of phone calls regarding relevant enquiry follow Poisson distribution with an average of 5 phone calls during 10 min time intervals. The probability that there is at most one phone call during a 10 min time period, is
(a) \( \frac56 \)
(b) \( \frac6{55} \)
(c) \( \frac6{e^5} \)
(d) \( \frac6{5^e} \)
Show Answer & Explanation

Answer: (c) \( \frac6{e^5} \)

Explanation:
1. \( P(X\le1)=P(0)+P(1)=e^{-5}+5e^{-5} \).
2. \( =\frac6{e^5} \). Answer: (c)

Teacher's Note:
1. Use the Poisson formula with mean 5.

Question 4: If in a frequency distribution, the mean and median are 21 and 22 respectively, then its mode is approximately
(a) 24.0
(b) 25.5
(c) 20.5
(d) 22.0
Show Answer & Explanation

Answer: (a) 24.0

Explanation:
1. Using the empirical relation, mode \( =3\,\text{median}-2\,\text{mean} \).
2. \( =66-42=24 \). Answer: (a)

Teacher's Note:
1. Use the empirical relation.

Question 5: Three houses are available in a locality. Three persons apply for the houses. Each applies for one house without consulting others. The probability that all the three apply for the same house, is
(a) \( \frac79 \)
(b) \( \frac89 \)
(c) \( \frac19 \)
(d) \( \frac29 \)
Show Answer & Explanation

Answer: (c) \( \frac19 \)

Explanation:
1. Each person has 3 choices, so there are \( 3^3=27 \) cases.
2. Favourable cases: all choose house 1, 2 or 3, so 3 cases, and \( P=\frac3{27}=\frac19 \). Answer: (c)

Teacher's Note:
1. Count total and favourable cases.

Question 6: A random variable \( X \) has Poisson distribution with mean 2. Then, \( P(X\gt1.5) \) equals
(a) \( \frac3{e^2} \)
(b) \( 1-\frac3{e^2} \)
(c) 0
(d) \( \frac2{e^2} \)
Show Answer & Explanation

Answer: (b) \( 1-\frac3{e^2} \)

Explanation:
1. \( P(X\gt1.5)=P(X\ge2)=1-[P(0)+P(1)] \).
2. \( =1-\left(e^{-2}+2e^{-2}\right)=1-\frac3{e^2} \). Answer: (b)

Teacher's Note:
1. X takes integer values.
2. Use the complement.

Question 7: Consider the following statements. I. Mode can be computed from histogram. II. Median is not independent of change of scale. III. Variance is independent of change of origin and scale. Which of these is/are correct?
(a) Only I
(b) Only II
(c) I and II
(d) I, II and III
Show Answer & Explanation

Answer: (c) I and II

Explanation:
1. Statement I is true: mode can be read from a histogram. Statement II is true: the median changes when every value is scaled.
2. Statement III is false: variance is independent of origin but not of scale. So I and II are correct. Answer: (c)

Teacher's Note:
1. Test each statement separately.

Question 8: In a series of \( 2n \) observations, half of them equal \( a \) and remaining half equal \( -a \). If the standard deviation of the observations is 2, then \( |a| \) equals
(a) \( \frac1n \)
(b) \( \sqrt2 \)
(c) 2
(d) \( \frac{\sqrt2}n \)
Show Answer & Explanation

Answer: (c) 2

Explanation:
1. The mean of all \( 2n \) observations is 0.
2. Variance \( =\frac{\sum x^2}{2n}=\frac{2na^2}{2n}=a^2=4 \), so \( |a|=2 \). Answer: (c)

Teacher's Note:
1. Find the mean first.
2. Compute the variance.

Question 9: The probability that \( A \) speaks truth is \( \frac45 \) while this probability for \( B \) is \( \frac34 \). The probability that they contradict each other when asked to speak on a fact, is
(a) \( \frac3{20} \)
(b) \( \frac15 \)
(c) \( \frac7{20} \)
(d) \( \frac45 \)
Show Answer & Explanation

Answer: (c) \( \frac7{20} \)

Explanation:
1. They contradict if exactly one speaks the truth.
2. \( P=\frac45\cdot\frac14+\frac15\cdot\frac34=\frac4{20}+\frac3{20}=\frac7{20} \). Answer: (c)

Teacher's Note:
1. Count the two ways of contradicting.

Question 10: A random variable \( X \) has the probability distribution: \( X=1,2,3,4,5,6,7,8 \) with \( P(X)=0.15,0.23,0.12,0.10,0.20,0.08,0.07,0.05 \). For the events \( E=\{X\text{ is a prime number}\} \) and \( F=\{X\lt4\} \), the probability \( P(E\cup F) \) is
(a) 0.87
(b) 0.77
(c) 0.35
(d) 0.50
Show Answer & Explanation

Answer: (b) 0.77

Explanation:
1. \( E=\{2,3,5,7\} \) so \( P(E)=0.23+0.12+0.20+0.07=0.62 \). \( F=\{1,2,3\} \) so \( P(F)=0.15+0.23+0.12=0.50 \).
2. \( E\cap F=\{2,3\} \) with probability \( 0.35 \).
3. \( P(E\cup F)=0.62+0.50-0.35=0.77 \). Answer: (b)

Teacher's Note:
1. List the outcomes in \( E \) and \( F \).
2. Use the addition theorem.

Question 11: The mean and the variance of a binomial distribution are 4 and 2, respectively. Then, the probability of 2 successes is
(a) \( \frac{37}{256} \)
(b) \( \frac{219}{256} \)
(c) \( \frac{128}{256} \)
(d) \( \frac{28}{256} \)
Show Answer & Explanation

Answer: (d) \( \frac{28}{256} \)

Explanation:
1. \( np=4 \) and \( npq=2 \) give \( q=\frac12 \), \( p=\frac12 \) and \( n=8 \).
2. \( P(X=2)={}^8C_2\left(\frac12\right)^8=\frac{28}{256} \). Answer: (d)

Teacher's Note:
1. Find \( n \) and \( p \).

Question 12: The median of a set of 9 distinct observations is 20.5. If each of the largest 4 observations of the set is increased by 2, then the median of the new set
(a) is increased by 2
(b) is decreased by 2
(c) is two times the original median
(d) remains the same as that of the original set
Show Answer & Explanation

Answer: (d) remains the same as that of the original set

Explanation:
1. The median of 9 observations is the 5th value in order.
2. Increasing only the largest 4 observations does not change the order or the 5th value, so the median stays 20.5. Answer: (d)

Teacher's Note:
1. Identify the median position.

Question 13: In an experiment with 15 observations on \( x \), the following results were available: \( \sum x^2=2830 \), \( \sum x=170 \). One observation that was 20, was found to be wrong and was replaced by the correct value 30. Then, the corrected variance is
(a) 78.00
(b) 188.66
(c) 177.33
(d) 8.33
Show Answer & Explanation

Answer: (a) 78.00

Explanation:
1. Corrected \( \sum x^2=2830-400+900=3330 \) and \( \sum x=170-20+30=180 \).
2. Variance \( =\frac{3330}{15}-\left(\frac{180}{15}\right)^2=222-144=78 \). Answer: (a)

Teacher's Note:
1. Correct both sums.
2. Apply the variance formula.

Question 14: Five horses are in a race. Mr. A selects two of the horses at random and bets on them. The probability that Mr. A selected the winning horse, is
(a) \( \frac45 \)
(b) \( \frac35 \)
(c) \( \frac15 \)
(d) \( \frac25 \)
Show Answer & Explanation

Answer: (d) \( \frac25 \)

Explanation:
1. The probability that both selected horses lose is \( \frac45\cdot\frac34=\frac35 \).
2. So the probability that the winner is selected is \( 1-\frac35=\frac25 \). Answer: (d)

Teacher's Note:
1. Use the complement.

Question 15: Events \( A,B \) and \( C \) are mutually exclusive events such that \( P(A)=\frac{3x+1}3 \), \( P(B)=\frac{1-x}4 \) and \( P(C)=\frac{1-2x}2 \). The set of possible values of \( x \) are in the interval
(a) \( \left[\frac13,\frac12\right] \)
(b) \( \left[\frac12,\frac23\right] \)
(c) \( \left[\frac13,\frac{13}3\right] \)
(d) \( [0,1] \)
Show Answer & Explanation

Answer: (a) \( \left[\frac13,\frac12\right] \)

Explanation:
1. Each probability lies in \( [0,1] \): \( -\frac13\le x\le\frac23 \), \( -3\le x\le1 \) and \( -\frac12\le x\le\frac12 \).
2. Mutual exclusivity gives \( P(A)+P(B)+P(C)\le1\Rightarrow\frac{3x+1}3+\frac{1-x}4+\frac{1-2x}2\le1\Rightarrow13-3x\le12\Rightarrow x\ge\frac13 \).
3. Combining, \( \frac13\le x\le\frac12 \). Answer: (a)

Teacher's Note:
1. Bound each probability.
2. Use the sum of probabilities \( \le1 \).

Question 16: The mean and variance of a random variable \( X \) having a binomial distribution are 4 and 2 respectively, then \( P(X=1) \) is
(a) \( \frac1{32} \)
(b) \( \frac1{16} \)
(c) \( \frac18 \)
(d) \( \frac14 \)
Show Answer & Explanation

Answer: (a) \( \frac1{32} \)

Explanation:
1. \( npq=2 \) and \( np=4 \) give \( q=\frac12 \), \( p=\frac12 \) and \( n=8 \).
2. \( P(X=1)={}^8C_1\left(\frac12\right)^8=\frac8{256}=\frac1{32} \). Answer: (a)

Teacher's Note:
1. Find \( n \) and \( p \).

Question 17: A problem in Mathematics is given to three students \( A,B,C \) and their respective probability of solving the problem is \( \frac12,\frac13 \) and \( \frac14 \). Probability that the problem is solved, is
(a) \( \frac34 \)
(b) \( \frac12 \)
(c) \( \frac23 \)
(d) \( \frac13 \)
Show Answer & Explanation

Answer: (a) \( \frac34 \)

Explanation:
1. \( P(\text{not solved})=\frac12\cdot\frac23\cdot\frac34=\frac14 \).
2. \( P(\text{solved})=1-\frac14=\frac34 \). Answer: (a)

Teacher's Note:
1. Use the complement.

Question 18: In a class of 100 students, there are 70 boys whose average marks in a subject are 75. If the average marks of the complete class is 72, then what is the average of the girls?
(a) 73
(b) 65
(c) 68
(d) 74
Show Answer & Explanation

Answer: (b) 65

Explanation:
1. Total marks of the class \( =100\times72=7200 \); boys' total \( =70\times75=5250 \).
2. Girls' total \( =1950 \) for 30 girls, so the average is \( 65 \). Answer: (b)

Teacher's Note:
1. Find the girls' total marks.

Question 19: \( A \) and \( B \) play a game, where each is asked to select a number from 1 to 25. If the two numbers match, both of them win a prize. The probability that they will not win a prize in a single trial, is
(a) \( \frac1{25} \)
(b) \( \frac{24}{25} \)
(c) \( \frac2{25} \)
(d) None of these
Show Answer & Explanation

Answer: (b) \( \frac{24}{25} \)

Explanation:
1. Total outcomes \( =25\times25=625 \) and matching outcomes \( =25 \), so \( P(\text{prize})=\frac1{25} \).
2. \( P(\text{no prize})=1-\frac1{25}=\frac{24}{25} \). Answer: (b)

Teacher's Note:
1. Count matching pairs.

Question 20: If \( A \) and \( B \) are two mutually exclusive events, then
(a) \( P(A)\lt P(\overline B) \)
(b) \( P(A)\gt P(\overline B) \)
(c) \( P(A)\lt P(B) \)
(d) None of these
Show Answer & Explanation

Answer: (d) None of these

Explanation:
1. Mutual exclusivity gives \( A\subseteq\overline B \), so \( P(A)\le P(\overline B) \), and the inequality need not be strict.
2. When \( A=\overline B \) we get equality, so (a) can fail; (b) and (c) can fail as well. Answer: (d)

Teacher's Note:
1. Use \( A\subseteq\overline B \).
2. Look for an equality case.

Question 21: The probability of India winning a test match against the West Indies is \( \frac12 \) assuming independence from match-to-match. The probability that in a match series India's second win occurs at the third test, is
(a) \( \frac18 \)
(b) \( \frac14 \)
(c) \( \frac12 \)
(d) \( \frac23 \)
Show Answer & Explanation

Answer: (b) \( \frac14 \)

Explanation:
1. Exactly one win in the first two matches and a win in the third.
2. \( P=2\cdot\frac12\cdot\frac12\cdot\frac12=\frac14 \). Answer: (b)

Teacher's Note:
1. List the orderings WLW and LWW.

Question 22: A biased coin with probability \( p,\ 0\lt p\lt1 \), of heads is tossed until a head appears for the first time. If the probability that the number of tosses required is even, is \( \frac25 \), then \( p \) equal to
(a) \( \frac13 \)
(b) \( \frac23 \)
(c) \( \frac25 \)
(d) \( \frac35 \)
Show Answer & Explanation

Answer: (a) \( \frac13 \)

Explanation:
1. \( \frac25=qp+q^3p+q^5p+\cdots=\frac{qp}{1-q^2} \) with \( q=1-p \).
2. \( \frac{(1-p)p}{1-(1-p)^2}=\frac{1-p}{2-p}=\frac25\Rightarrow5-5p=4-2p \).
3. \( p=\frac13 \). Answer: (a)

Teacher's Note:
1. Sum the geometric series over even numbers of tosses.

Question 23: A fair die is tossed eight times. The probability that a third six is observed on the eighth throw, is
(a) \( \dfrac{{}^7C_2\times5^5}{6^7} \)
(b) \( \dfrac{{}^7C_2\times5^5}{6^8} \)
(c) \( \dfrac{{}^7C_2\times5^5}{6^6} \)
(d) None of these
Show Answer & Explanation

Answer: (b) \( \dfrac{{}^7C_2\times5^5}{6^8} \)

Explanation:
1. Exactly two sixes in the first seven throws and a six on the eighth.
2. \( P={}^7C_2\left(\frac16\right)^2\left(\frac56\right)^5\cdot\frac16=\frac{{}^7C_2\times5^5}{6^8} \). Answer: (b)

Teacher's Note:
1. Fix the eighth throw as a six.
2. Use the binomial formula for the first seven.

Practice MCQs for JEE Mathematics Probability

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FAQs

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