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Answer: One success
## Explanation The inverse cumulative distribution function (also called the quantile function) for a binomial distribution gives the smallest number of successes k such that P(X ≤ k) ≥ p, where p is the given probability. For this problem: - n = 30 trials - p = 0.05 (probability of success) - We want the inverse CDF for probability = 25.0% = 0.25 Let's calculate the cumulative probabilities: - P(X = 0) = (1-0.05)^30 = (0.95)^30 ≈ 0.2146 - P(X ≤ 0) = 0.2146 - P(X = 1) = 30 × 0.05 × (0.95)^29 ≈ 30 × 0.05 × 0.2259 ≈ 0.3389 - P(X ≤ 1) = 0.2146 + 0.3389 = 0.5535 - P(X = 2) = C(30,2) × (0.05)^2 × (0.95)^28 ≈ 435 × 0.0025 × 0.2378 ≈ 0.2586 - P(X ≤ 2) = 0.5535 + 0.2586 = 0.8121 Now, looking for the smallest k where P(X ≤ k) ≥ 0.25: - P(X ≤ 0) = 0.2146 < 0.25 - P(X ≤ 1) = 0.5535 ≥ 0.25 Therefore, the inverse CDF for probability 0.25 is **1 success**, which corresponds to **Option B**.
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Consider a binomial distribution with a probability of each success, p = 0.050, and that total number of trials, n = 30 trials. What is the inverse cumulative distribution function associated with a probability of 25.0%?
A
Zero successes
B
One success
C
Two successes
D
Three successes