MCQMediumJEE 2025Probability Distributions

JEE Mathematics 2025 Question with Solution

A coin is tossed three times. Let XX denote the number of times a tail follows a head. If μ\mu and σ2\sigma^2 denote the mean and variance of XX, then the value of 64(μ+σ2)64(\mu + \sigma^2) is:

  • A

    5151

  • B

    4848

  • C

    3232

  • D

    6464

Answer

Correct answer:B

Step-by-step solution

Standard Method

Given: A coin is tossed three times. Let XX be the number of times a tail follows a head.

Find: The value of 64(μ+σ2)64(\mu + \sigma^2), where μ=E(X)\mu = E(X) and σ2=Var(X)\sigma^2 = \operatorname{Var}(X).

List all possible outcomes and the corresponding value of XX:

  • HHH0HHH \to 0
  • HHT1HHT \to 1
  • HTH1HTH \to 1
  • HTT1HTT \to 1
  • THH0THH \to 0
  • THT1THT \to 1
  • TTH0TTH \to 0
  • TTT0TTT \to 0

Thus, the probability distribution is:

P(X=0)=48=12,P(X=1)=48=12P(X=0) = \frac{4}{8} = \frac{1}{2}, \qquad P(X=1) = \frac{4}{8} = \frac{1}{2}
A two-row probability distribution table showing x_i values 0 and 1, each with probability one-half.

Now compute the mean:

μ=xiPi=012+112=12\mu = \sum x_i P_i = 0 \cdot \frac{1}{2} + 1 \cdot \frac{1}{2} = \frac{1}{2}

Compute E(X2)E(X^2):

E(X2)=0212+1212=12E(X^2) = 0^2 \cdot \frac{1}{2} + 1^2 \cdot \frac{1}{2} = \frac{1}{2}

Hence, the variance is:

σ2=E(X2)μ2=12(12)2=14\sigma^2 = E(X^2) - \mu^2 = \frac{1}{2} - \left(\frac{1}{2}\right)^2 = \frac{1}{4}

Finally,

64(μ+σ2)=64(12+14)=64(34)=4864(\mu + \sigma^2) = 64\left(\frac{1}{2} + \frac{1}{4}\right) = 64\left(\frac{3}{4}\right) = 48

Therefore, the correct option is B.

Using Frequency Distribution

Given: There are 88 equally likely outcomes when a coin is tossed three times.

Find: Mean and variance of XX, then evaluate 64(μ+σ2)64(\mu + \sigma^2).

From the outcomes, X=0X=0 occurs in 44 cases and X=1X=1 occurs in 44 cases. So:

P(X=0)=12,P(X=1)=12P(X=0) = \frac{1}{2}, \qquad P(X=1) = \frac{1}{2}

Mean:

E(X)=012+112=12E(X) = 0 \cdot \frac{1}{2} + 1 \cdot \frac{1}{2} = \frac{1}{2}

Variance:

Var(X)=E(X2)[E(X)]2\operatorname{Var}(X) = E(X^2) - [E(X)]^2

with

E(X2)=0212+1212=12E(X^2) = 0^2 \cdot \frac{1}{2} + 1^2 \cdot \frac{1}{2} = \frac{1}{2}

Therefore,

σ2=1214=14\sigma^2 = \frac{1}{2} - \frac{1}{4} = \frac{1}{4}

Now substitute:

64(μ+σ2)=64(12+14)=4864(\mu + \sigma^2) = 64\left(\frac{1}{2} + \frac{1}{4}\right) = 48

Therefore, the required value is 4848, so the correct option is B.

Common mistakes

  • Counting only the substring HTHT in one fixed position is incorrect because a tail can follow a head in either the first-second or second-third toss pair. Check both adjacent pairs in each outcome.

  • Assigning wrong values of XX to outcomes is a common error. For example, HHTHHT should give 11, not 00, because the third toss tail follows the second toss head.

  • Using σ2=E(X)[E(X)]2\sigma^2 = E(X) - [E(X)]^2 is wrong. Variance must be computed as E(X2)[E(X)]2E(X^2) - [E(X)]^2.

Practice more Probability Distributions questions

Get unlimited AI-adaptive practice, mastery tracking, and an AI tutor that explains every step — free to start.

Related questions