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IAI Actuarial Core Principles · Actuarial Statistics · Confidence intervals and prediction intervals

A sample of 9 claim amounts (in thousands of rupees) from a normal distribution has sample mean 50 and sample variance 36 (divisor n-1). Given t(8) at the 97.5% point is 2.306, what is the 95% confidence interval for the mean?

The interval is (45.39, 54.61). The sample standard deviation is 6, the standard error is 6 divided by 3, which is 2, and the t margin is 2.306 times 2, about 4.61, around the mean of 50.

  1. A(45.39, 54.61)Correct
  2. B(43.07, 56.93)
  3. C(46.08, 53.92)
  4. D(38.46, 61.54)
  5. (46.13, 53.87)

Explanation

s = 6, standard error = 6/3 = 2. Margin = 2.306 x 2 = 4.612, so the interval is (45.39, 54.61). Option (43.07, 56.93) uses s/sqrt(n) times 2.306 with s=6 not divided by 3 wrongly halved... in fact it uses a standard error of 3 (dividing by sqrt 4). The others use incorrect standard errors.

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