In: Statistics and Probability
Terry is a small business entrepreneur and owns 6 buildings for business use. The probability distribution below describes expected property losses for the group of 6 buildings. Assume that the property exposures are independent of each other.
Losses $ Probability of Loss
$10,000 0.20
$20,000 0.10
$50,000 0.06
$100,000 0.03
$500,000 0.01
(a) mean/average loss=expected loss=E(x)=sum(x*p(x))=15000
(b) standard deviation(sd)=sqrt(variance)=sqrt(2785000000)=52773 ( whole number approximation)
variance=E(x2)-E(x)*E(x)=3010000000-15000*15000=2785000000
E(x2)=sum(x2*p(x))=3010000000
(c) coefficient of variation=sd/mean=100*52773/15000=351.82%
(d) Terry’s actuarially fair premium would be expected loss=15000
x | p(x) | x*p(x) | x2*p(x) |
10000 | 0.2 | 2000 | 20000000 |
20000 | 0.1 | 2000 | 40000000 |
50000 | 0.06 | 3000 | 150000000 |
100000 | 0.03 | 3000 | 300000000 |
500000 | 0.01 | 5000 | 2500000000 |
sum= | 15000 | 3010000000 |