Independent solution

How to solve this Conditional Distributions question

Setup

Setup

Within the conditioning class, the two displayed joint cells sum to probability 0.175.

P(X=1)=0.05+0.125=0.175P(X=1)=0.05+0.125=0.175

Model

Model

Normalize the positive-test joint cell by that class probability to obtain Bernoulli success probability five sevenths.

P(Y=1X=1)=0.1250.175=57P(Y=1\mid X=1)=\frac{0.125}{0.175}=\frac57

Compute

Compute

A Bernoulli variable with that success probability has conditional variance ten forty-ninths, approximately 0.204082.

Var(YX=1)=57(157)=1049=0.204082\operatorname{Var}(Y\mid X=1)=\frac57\left(1-\frac57\right)=\frac{10}{49}=0.204082

Answer

Answer

The conditional Bernoulli variance is approximately 0.20, selecting choice C.

0.20(C)\boxed{0.20\quad\text{(C)}}