Independent solution

How to solve this Marginal Distributions question

Answer in brief

Only 40% of the second-period loss remains unreimbursed, while the first-period loss is fully covered. Marginalizing the joint table gives a second-period mean of 0.90, so the expected unreimbursed amount is 0.36 and choice A.

Setup

Setup

Let Y be the loss in the partially covered period. Sum each row of the joint table to obtain the marginal distribution of Y.

Pr(Y=0)=0.80,Pr(Y=2)=0.10\Pr(Y=0)=0.80,\quad \Pr(Y=2)=0.10
Pr(Y=5)=0.06,Pr(Y=10)=0.04\Pr(Y=5)=0.06,\quad \Pr(Y=10)=0.04

Model

Model

The fully covered period contributes nothing to the unreimbursed amount. The other period leaves 40% of its loss with the patient.

U=0.40YU=0.40Y
E[U]=0.40E[Y]\operatorname{E}[U]=0.40\operatorname{E}[Y]

Compute

Compute

Calculate the marginal mean and apply the uncovered percentage.

E[Y]=0(0.80)+2(0.10)+5(0.06)+10(0.04)=0.90\operatorname{E}[Y]=0(0.80)+2(0.10)+5(0.06)+10(0.04)=0.90
E[U]=0.40(0.90)=0.36\operatorname{E}[U]=0.40(0.90)=0.36

Answer

Answer

The expected unreimbursed loss over the two periods is 0.36.

E[U]=0.36(A)\boxed{\operatorname{E}[U]=0.36\quad\text{(A)}}