Independent solution

How to solve this Conditional Probability question

Setup

Setup

Let A be the event of at least two disabilities and B the event of at most one death. The requested probability is a ratio within the columns defining B.

Pr(AB)=Pr(AB)Pr(B)\Pr(A\mid B)=\frac{\Pr(A\cap B)}{\Pr(B)}

Model

Model

Sum every row in the zero- and one-death columns for the denominator, then restrict those columns to the two highest disability rows for the numerator.

Pr(B)=0.51+0.08+0.04+0.03+0.09+0.06+0.03+0.02=0.86\Pr(B)=0.51+0.08+0.04+0.03+0.09+0.06+0.03+0.02=0.86
Pr(AB)=0.04+0.03+0.03+0.02=0.12\Pr(A\cap B)=0.04+0.03+0.03+0.02=0.12

Compute

Compute

Normalize the joint event by the full conditioning probability.

Pr(AB)=0.120.86=643\Pr(A\mid B)=\frac{0.12}{0.86}=\frac{6}{43}
Pr(AB)=0.1395348837\Pr(A\mid B)=0.1395348837\ldots

Answer

Answer

The conditional probability rounds to 0.14.

0.14(B)\boxed{0.14\quad\text{(B)}}