Independent solution

How to solve this Exponential Distribution question

Setup

Setup

Let M denote the smaller of the two independent losses.

M=min(X1,X2)M=\min(X_1,X_2)
Pr(Xi>t)=et,t0\Pr(X_i>t)=e^{-t},\qquad t\ge0

Model

Model

Translate survival of the minimum into simultaneous survival of both losses.

Pr(M>t)=Pr(X1>t,X2>t)\Pr(M>t)=\Pr(X_1>t,X_2>t)
=etet=e2t=e^{-t}e^{-t}=e^{-2t}

Compute

Compute

Recognize the survival function as exponential with rate two.

MExponential(rate 2)M\sim\operatorname{Exponential}(\text{rate }2)
E[M]=12E[M]=\frac12

Answer

Answer

The expected smaller loss is 0.50.

0.50(B)\boxed{0.50\quad\text{(B)}}