Independent solution

How to solve this Conditional Variance question

Setup

Setup

Record the conditional moments of the exponential variable in terms of its random scale S.

E⁡[X∣S]=3S,Var⁡(X∣S)=9S2\operatorname{E}[X\mid S]=3S,\qquad \operatorname{Var}(X\mid S)=9S^2

Model

Model

Compute the moments needed from the continuous uniform distribution.

E⁡[S]=5+202=12.5\operatorname{E}[S]=\frac{5+20}{2}=12.5
Var⁡(S)=(20−5)212=18.75\operatorname{Var}(S)=\frac{(20-5)^2}{12}=18.75
E⁡[S2]=18.75+12.52=175\operatorname{E}[S^2]=18.75+12.5^2=175

Compute

Compute

Use the within-scale and between-scale pieces of the law of total variance.

Var⁡(X)=E⁡[Var⁡(X∣S)]+Var⁡(E⁡[X∣S])\operatorname{Var}(X)=\operatorname{E}[\operatorname{Var}(X\mid S)]+\operatorname{Var}(\operatorname{E}[X\mid S])
Var⁡(X)=9(175)+9(18.75)=1575+168.75=1743.75\operatorname{Var}(X)=9(175)+9(18.75)=1575+168.75=1743.75

Answer

Answer

The unconditional variance is 1,743.75.

1743.75(E)\boxed{1743.75\quad\text{(E)}}