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Binomial Distribution

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A biased coin showing heads with probability 1/3 is tossed five independent times in succession; what is the probability of obtaining exactly two heads among these five tosses?

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About This Question

Subject
mathematics
Chapter
statistics and probability
Topic
binomial distribution
Difficulty
Medium
Year
2025
Tags
advanced-calculus-drillbinomial-distributionbernoulli-trialscombinationsbiased-coin

Solution

Correct Answer:

The binomial distribution governs the number of successes in a fixed number of independent trials each with the same success probability, giving P(X = r) = C(n, r) pʳ (1 − p)ⁿ⁻ʳ. This is the canonical JEE Advanced repeated-Bernoulli-trials model. Here n = 5, p = 1/3 for heads, 1 − p = 2/3, and we need exactly r = 2 heads. Thus P(X = 2) = C(5, 2)(1/3)²(2/3)³ = 10 × (1/9) × (8/27) = 10 × 8 / 243 = 80/243. Option 40/243 drops the combinatorial factor by using C(5,2) = 5 instead of 10. Option 10/243 keeps only the binomial coefficient times a single 1/27 and omits the powers of 2/3 correctly. Option 16/81 ignores the coefficient and mismatches the exponents. The result follows directly from the binomial probability formula, with C(5,2) = 10 counting the arrangements of two heads among five tosses. Plausibility check: 80/243 ≈ 0.329 is a valid probability, and since the expected number of heads is np = 5/3 ≈ 1.67, having exactly two heads is plausibly one of the most likely outcomes, consistent with this moderate value.

This medium difficulty mathematics question is from the chapter statistics and probability, covering the topic of binomial distribution. It appeared in the 2025 exam.

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