Independent solution

How to solve this Discrete Distributions question

Setup

Setup

Collapse snowfall categories that lead to the same policy benefit. Let Y denote the payment amount.

Pr(Y=0)=0.72,Pr(Y=200)=0.14\Pr(Y=0)=0.72,\quad \Pr(Y=200)=0.14
Pr(Y=400)=0.06,Pr(Y=500)=0.08\Pr(Y=400)=0.06,\quad \Pr(Y=500)=0.08

Model

Model

Compute the first two raw moments of the discrete payment.

E[Y]=yyPr(Y=y)E[Y]=\sum_y y\Pr(Y=y)
E[Y2]=yy2Pr(Y=y)E[Y^2]=\sum_y y^2\Pr(Y=y)

Compute

Compute

Evaluate the moments and convert the variance to a standard deviation.

E[Y]=200(0.14)+400(0.06)+500(0.08)=92E[Y]=200(0.14)+400(0.06)+500(0.08)=92
E[Y2]=2002(0.14)+4002(0.06)+5002(0.08)=35200E[Y^2]=200^2(0.14)+400^2(0.06)+500^2(0.08)=35200
Var(Y)=35200922=26736\operatorname{Var}(Y)=35200-92^2=26736
SD(Y)=26736=163.5114675\operatorname{SD}(Y)=\sqrt{26736}=163.5114675

Answer

Answer

The policy payment has standard deviation about 163.5.

163.5(A)\boxed{163.5\quad\text{(A)}}