Skip to content

IAI Actuarial Core Principles · Actuarial Statistics · Hypothesis testing and goodness of fit

Policy claim counts per year are grouped as 0, 1, 2, 3 or more, with observed numbers 60, 30, 8, 2 from 100 policies. The model fitted (parameters fully specified, not estimated) gives probabilities 0.55, 0.30, 0.12, 0.03. What is the chi-square statistic, to two decimals?

The statistic is about 2.12, found by summing (O-E)^2/E over the four cells using expected counts 55, 30, 12 and 3. The terms are 0.4545, 0, 1.3333 and 0.3333.

  1. A1.52
  2. B2.12Correct
  3. C2.61
  4. D3.18
  5. 0.88

Explanation

Expected counts are 55, 30, 12, 3. Terms: 25/55 = 0.4545; 0; 16/12 = 1.3333; 1/3 = 0.3333. Sum = 2.1212, about 2.12. Using observed counts in the denominator would give a different value.

Did you get it right without looking?

One question tells you little. A timed set on Hypothesis testing and goodness of fit shows your real accuracy, how long you take and where you lose marks.

More Hypothesis testing and goodness of fit questions