Independent solution
How to solve this Conditional Distributions question
Answer in brief
Restricting the joint distribution to the stated event gives conditional masses 0.125, 0.625, and 0.250 at values 0, 25, and 50, respectively. The resulting conditional variance is 224.609375 in millions of squared monetary units, which rounds to choice A.
Setup
Setup
Let A denote the conditioning event and express the monetary variable in thousands so that its possible values are 0, 25, and 50.
A={X≤25,000},Yk=Y/1000 Pr(A)=0.80 Model
Model
Aggregate the joint masses inside A for each possible value of the target variable, then normalize by the probability of A.
Pr(Yk=0∣A)=0.800.10=0.125 Pr(Yk=25∣A)=0.800.50=0.625 Pr(Yk=50∣A)=0.800.20=0.250 Compute
Compute
Calculate the first two conditional moments and subtract the square of the conditional mean.
E[Yk∣A]=25(0.625)+50(0.250)=28.125 E[Yk2∣A]=252(0.625)+502(0.250)=1015.625 Var(Yk∣A)=1015.625−28.1252=224.609375 Answer
Answer
Because one squared thousand equals one million in squared base monetary units, the requested variance rounds to 225 million.
Var(Y∣A)≈225 million(A)