IAI Actuarial Core Principles · Actuarial Statistics · Basic univariate distributions and generating samples
A simulation estimates the mean claim cost using n independent runs. The sample standard deviation of the outputs is Rs 400. What is the standard error of the estimated mean when n = 400?
The standard error is Rs 20. It equals the sample standard deviation divided by the square root of the number of simulations, so 400 divided by 20 gives 20. Dividing by n rather than its square root would wrongly give Rs 1.
- ARs 1
- BRs 2
- CRs 10
- DRs 20Correct
- Rs 40
Explanation
Standard error = s/sqrt(n) = 400/sqrt(400) = 400/20 = Rs 20. Rs 1 would come from dividing by n instead of sqrt(n). Rs 2 and Rs 10 come from other wrong divisions.
Did you get it right without looking?
One question tells you little. A timed set on Basic univariate distributions and generating samples shows your real accuracy, how long you take and where you lose marks.
More Basic univariate distributions and generating samples questions
- To simulate from a density f(x) = 6x(1 - x) on (0,1) by acceptance-rejection, a Uniform(0,1) proposal is used with the smallest constant M s…
- A simulation estimates the probability p that an annual loss exceeds Rs 50 crore. Out of 2,500 independent runs, 200 exceed Rs 50 crore. Wha…
- Claim counts N on a motor policy in a year are Poisson with mean 0.5. Independent claims are of two kinds, each claim being a theft claim wi…
- If U is Uniform(0,1) and F is a continuous, strictly increasing distribution function, which statement about the inverse transform method is…
- The monthly claim amount X (in thousand rupees) for a motor portfolio of an Indian insurer is modelled as Normal with mean 50 and standard d…
- Monthly claim costs for a health portfolio of Suraksha Insurance are modelled as Normal with mean Rs 50,000 and standard deviation Rs 8,000.…