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4-3 Geometric and Binomial Distributions: practice questions

Unit 4 — Random Variables and Probability Distributions · Statistics. These are 10 questions from the Magmo3 bank on this lesson, from easy to hard. Solve each one, then open "Show answer and explanation". Magmo3 has 82 questions on this lesson, each with an explanation.

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Question 1Easy

If X ~ B(12, 0.3), then P(X = 5) = ……

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Correct answer: (C) ¹²C₅ × (0.3)⁵ × (0.7)⁷

Explanation: Step 1: P(X = r) = ⁿCᵣ × Sʳ × (1 − S)ⁿ⁻ʳ with n = 12, r = 5 and S = 0.3. Step 2: P(X = 5) = ¹²C₅ × (0.3)⁵ × (1 − 0.3)¹²⁻⁵ = ¹²C₅ × (0.3)⁵ × (0.7)⁷ ∴ P(X = 5) = ¹²C₅ × (0.3)⁵ × (0.7)⁷ (leaving out ¹²C₅ ignores the number of ways the 5 successes can be placed among the 12 trials).

Question 2Easy

If X ~ B(20, 0.3), then the expectation μ = ……

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Correct answer: (D) 6

Explanation: Step 1: μ = n × S Step 2: μ = 20 × 0.3 = 6 ∴ μ = 6 (4.2 = n × S × (1 − S) is the variance, and 14 = n × (1 − S) is the expected number of failures).

Question 3Easy

If X ~ G(0.4), then P(X = 0) = ……

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Correct answer: (A) zero

Explanation: Step 1: In P(X = n) = S(1 − S)ⁿ⁻¹, n = 1, 2, 3, … because the first success needs at least one trial. Step 2: So X = 0 is impossible. ∴ P(X = 0) = zero.

Question 4Medium

If X ~ B(5, 0.4), then P(X = 3) = ……

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Correct answer: (A) 0.2304

Explanation: Step 1: P(X = r) = ⁿCᵣ × Sʳ × (1 − S)ⁿ⁻ʳ with n = 5, r = 3 and S = 0.4. Step 2: P(X = 3) = ⁵C₃ × (0.4)³ × (0.6)² = 10 × 0.064 × 0.36 = 0.2304 ∴ P(X = 3) = 0.2304 (0.3456 = ⁵C₃ × (0.6)³ × (0.4)² swaps S and 1 − S, and 0.0230 forgets ⁵C₃).

Question 5Medium

If X ~ B(20, 0.4) and Y ~ B(40, 0.2), which of the following statements is true when we move from X to Y?

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Correct answer: (A) The expectation stays 8 and the variance increases from 4.8 to 6.4

Explanation: Step 1: Expectation of X = 20 × 0.4 = 8 and expectation of Y = 40 × 0.2 = 8. Step 2: Variance of X = 20 × 0.4 × 0.6 = 4.8 and variance of Y = 40 × 0.2 × 0.8 = 6.4. ∴ The expectation stays 8 and the variance increases from 4.8 to 6.4 (doubling n and halving S keeps n × S the same, but 1 − S changes).

Question 6Medium

A regular coin is tossed 30 times. The probability that a head appears exactly 10 times is ……

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Correct answer: (C) ³⁰C₁₀ × (1/2)³⁰

Explanation: Step 1: Let X be the number of heads, X ~ B(30, 1/2). Step 2: P(X = 10) = ³⁰C₁₀ × (1/2)¹⁰ × (1/2)²⁰ = ³⁰C₁₀ × (1/2)³⁰ ∴ The probability is ³⁰C₁₀ × (1/2)³⁰ (³⁰C₁₀ × (1/2)¹⁰ forgets the probability of failure in the other 20 tosses, and ¹⁰C₃₀ has n and r the wrong way round).

Question 7Medium

A regular die is rolled repeatedly until a number greater than 4 appears for the first time. The variance of the number of rolls needed is ……

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Correct answer: (A) 6

Explanation: Step 1: The numbers greater than 4 are 5 and 6, so S = 2/6 = 1/3 and X ~ G(1/3). Step 2: σ² = (1 − S)/S² = (2/3) ÷ (1/9) = 6 ∴ The variance is 6 (3 = 1/S is the expectation, 2 = (1 − S)/S forgets the square, and √6 is the standard deviation).

Question 8Hard

If X is a binomial random variable with expectation μ = 3 and variance σ² = 1.2, then P(X ≥ 4) = ……

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Correct answer: (D) 0.33696

Explanation: Step 1: 1 − S = σ² ÷ μ = 1.2 ÷ 3 = 0.4, so S = 0.6 and n = μ ÷ S = 3 ÷ 0.6 = 5. Step 2: P(X ≥ 4) = ⁵C₄ × (0.6)⁴ × (0.4)¹ + ⁵C₅ × (0.6)⁵ = 0.2592 + 0.07776 = 0.33696 ∴ P(X ≥ 4) = 0.33696 (0.2592 is P(X = 4) alone, and 0.08704 comes from swapping S and 1 − S).

Question 9Hard

If X ~ G(S) and P(X > 2) = 0.49, then P(X = 3) = ……

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Correct answer: (B) 0.147

Explanation: Step 1: P(X > 2) = (1 − S)² = 0.49, so 1 − S = 0.7 and S = 0.3. Step 2: P(X = 3) = 0.3 × (0.7)² = 0.147 ∴ P(X = 3) = 0.147 (0.063 = 0.7 × (0.3)² takes S = 0.7 by mistake, and 0.343 = (0.7)³ is P(X > 3)).

Question 10Hard

Ahmed tosses a regular coin 3 times and Omar tosses another regular coin twice, all tosses being independent. The probability that they get the same number of heads is ……

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Correct answer: (C) 5/16

Explanation: Step 1: For Ahmed, X ~ B(3, 1/2): P(X = 0) = 1/8, P(X = 1) = 3/8, P(X = 2) = 3/8, P(X = 3) = 1/8. For Omar, Y ~ B(2, 1/2): P(Y = 0) = 1/4, P(Y = 1) = 1/2, P(Y = 2) = 1/4. Step 2: P(X = Y) = (1/8)(1/4) + (3/8)(1/2) + (3/8)(1/4) = 1/32 + 6/32 + 3/32 = 10/32 = 5/16 ∴ The probability is 5/16 (3/16 takes only the case of one head each, and 1/2 is the probability that Ahmed gets more heads).

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