IAI Actuarial Core Principles · Actuarial Statistics · Random sampling and sampling distributions
A random sample of size 10 is drawn from a normal population with unknown mean and variance 4. The sample variance is S^2 = 6 (divisor n-1). Which of the following is the value of the statistic 9S^2/σ^2 and its distribution?
The statistic is 9×6/4 = 13.5, and it follows a chi-square distribution with 9 degrees of freedom, because (n-1)S^2/σ^2 has n-1 degrees of freedom when sampling from a normal population.
- A13.5, chi-square with 9 degrees of freedomCorrect
- B13.5, chi-square with 10 degrees of freedom
- C15, chi-square with 9 degrees of freedom
- D9.0, chi-square with 9 degrees of freedom
- 13.5, t with 9 degrees of freedom
Explanation
(n-1)S^2/σ^2 follows chi-square with n-1 = 9 degrees of freedom. Value = 9×6/4 = 13.5. Using 10 degrees of freedom or dividing wrongly gives the other options; the statistic is not a t variable.
Did you get it right without looking?
One question tells you little. A timed set on Random sampling and sampling distributions shows your real accuracy, how long you take and where you lose marks.
More Random sampling and sampling distributions questions
- Ten independent claim sizes are drawn from a continuous distribution, and the 10 values are ordered X(1) < ... < X(10). Let m be the populat…
- The ordered sample of nine premium amounts (in ₹ thousand) is 12, 15, 18, 21, 25, 30, 34, 41, 60. Using the definition in which the p-quanti…
- Claim amounts for a motor portfolio have mean Rs 8,000 and standard deviation Rs 6,000. Using the central limit theorem, what is the approxi…
- A sample of 16 claim amounts from a normal population has mean 50 and sample standard deviation 8 (divisor n-1). What is the t statistic for…
- A sample of n independent claims is drawn from an Exponential distribution with mean 1000 (rupees). With n = 5, what is the probability that…
- A population of 5 policies has claim amounts (in Rs thousand) 2, 4, 6, 8 and 10. A simple random sample of size 2 is drawn without replaceme…