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.
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 = ……
A0.3
B4.2
C14
D6
Show answer and explanation
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) = ……
Azero
B0.6
C0.4
D1
Show answer and explanation
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) = ……
A0.2304
B0.0230
C0.3456
D0.0576
Show answer and explanation
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?
AThe expectation stays 8 and the variance increases from 4.8 to 6.4
BThe expectation stays 8 and the variance stays 4.8
CThe expectation doubles to 16 and the variance increases to 6.4
DThe expectation stays 8 and the variance decreases from 4.8 to 2.4
Show answer and explanation
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 ……
A³⁰C₁₀ × (1/2)¹⁰
B¹⁰C₃₀ × (1/2)³⁰
C³⁰C₁₀ × (1/2)³⁰
D(1/2)¹⁰
Show answer and explanation
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 ……
A6
B3
C2
D√6
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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) = ……
A0.2592
B0.07776
C0.08704
D0.33696
Show answer and explanation
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) = ……
A0.343
B0.147
C0.063
D0.21
Show answer and explanation
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 ……
A1/4
B3/16
C5/16
D1/2
Show answer and explanation
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).