Independent solution

How to solve this Joint Probability Mass Functions question

Setup

Setup

Restrict the table to the two filling columns allowed by the conditioning event and sum within each root-canal row.

Pr(R=0,F1)=0.66\Pr(R=0,F\le1)=0.66
Pr(R=1,F1)=0.07\Pr(R=1,F\le1)=0.07
Pr(R=2,F1)=0.02\Pr(R=2,F\le1)=0.02

Model

Model

Add the restricted masses to obtain the conditioning probability.

Pr(F1)=0.66+0.07+0.02=0.75\Pr(F\le1)=0.66+0.07+0.02=0.75

Compute

Compute

Divide the restricted first-moment numerator by the conditioning probability.

E[RF1]=0(0.66)+1(0.07)+2(0.02)0.75\operatorname{E}[R\mid F\le1]=\frac{0(0.66)+1(0.07)+2(0.02)}{0.75}
=0.110.75=1175=0.1466666667=\frac{0.11}{0.75}=\frac{11}{75}=0.1466666667

Answer

Answer

The conditional expected number rounds to 0.15.

0.15(B)\boxed{0.15\quad\text{(B)}}