Independent solution

How to solve this Conditional Distributions question

Answer in brief

This is a conditional-expectation calculation from a joint probability table. Restricting the table to the qualifying rows gives probability 0.70 and a weighted numerator of 0.99, so the conditional mean is 99/70, or 1.414286, and choice C is correct.

Setup

Setup

Retain the two rows allowed by the conditioning event. Their combined probability is the denominator of the conditional distribution.

Pr(X<2)=0.30+0.40=0.70\Pr(X<2)=0.30+0.40=0.70

Model

Model

For each possible value of Y, add the retained joint masses and divide by 0.70. The conditional mean can be computed by dividing the corresponding weighted joint sum by the same denominator.

E[YX<2]=yyPr(Y=y,X<2)Pr(X<2)\operatorname{E}[Y\mid X<2]=\frac{\sum_y y\,\Pr(Y=y,\,X<2)}{\Pr(X<2)}

Compute

Compute

The retained column masses for Y equal 0.14, 0.21, 0.27, and 0.08. Weighting them by 0, 1, 2, and 3 produces the numerator.

yyPr(Y=y,X<2)=1(0.21)+2(0.27)+3(0.08)=0.99\sum_y y\,\Pr(Y=y,\,X<2)=1(0.21)+2(0.27)+3(0.08)=0.99
E[YX<2]=0.990.70=9970=1.414285714\operatorname{E}[Y\mid X<2]=\frac{0.99}{0.70}=\frac{99}{70}=1.414285714\ldots

Answer

Answer

The conditional expected count rounds to 1.41.

1.41(C)\boxed{1.41\quad\text{(C)}}