IAI Actuarial Core Principles · Actuarial Statistics · Confidence intervals and prediction intervals
A normal population has known standard deviation 12. A 95% confidence interval for the mean is to have total width at most 6. Using z = 1.96, what is the smallest sample size required?
The smallest sample size is 62. Requiring 2 times 1.96 times 12 over root n to be at most 6 gives root n at least 7.84, so n at least 61.47, which must be rounded up to 62.
- A62Correct
- B16
- C246
- D31
- 61
Explanation
Width = 2 x 1.96 x 12/sqrt(n) ≤ 6, so sqrt(n) ≥ 47.04/6 = 7.84. Then n ≥ 61.47, so n = 62. Using 61 rounds down, which fails the width requirement; 246 uses total width as half-width incorrectly.
Did you get it right without looking?
One question tells you little. A timed set on Confidence intervals and prediction intervals shows your real accuracy, how long you take and where you lose marks.
More Confidence intervals and prediction intervals questions
- For a normal population with known sigma = 10, an actuary wants a 95% confidence interval for the mean with total width at most 4 (z = 1.96)…
- In a sample of 400 policyholders of a Pune-based insurer, 80 lapsed their policy within a year. Using the normal approximation, what is the …
- A 95% confidence interval for a proportion based on a sample of size n is (0.30, 0.40). The same sample proportion is used, but the sample s…
- Two branches of an Indian life insurer sample policy renewals. Branch A: 150 of 200 renewed. Branch B: 120 of 200 renewed. Using the normal …
- For paired data on 9 policyholders, the differences (after minus before) have mean 4.0 and sample standard deviation 3.0. The t value with 8…
- A random sample of 25 claim sizes (in Rs thousand) from a normal distribution has sample mean 120 and sample standard deviation 10. Using t(…