Independent solution

How to solve this Conditional Expectation question

Setup

Setup

Let X count early-stage selections, Y count advanced-stage selections, and A be the event X≥1.

Pr(A)=1(0.8)6=0.737856\Pr(A)=1-(0.8)^6=0.737856

Model

Model

For each patient to contribute to Y while A occurs, that patient must be advanced and at least one of the other five must be early-stage.

E[Y1A]=6(0.1)[1(0.8)5]E[Y\mathbf{1}_A]=6(0.1)\left[1-(0.8)^5\right]

Compute

Compute

Evaluate the joint expectation and normalize by the conditioning probability.

E[Y1A]=0.403392E[Y\mathbf{1}_A]=0.403392
E[YA]=0.4033920.737856=0.5467083E[Y\mid A]=\frac{0.403392}{0.737856}=0.5467083

Answer

Answer

The conditional expected advanced-stage count rounds to 0.547.

0.547(C)\boxed{0.547\quad\text{(C)}}