I came across these two examples in Introduction to Probability - Blitzstein and I am confused what exactly is the difference between the two questions.
- Mr. Smith has two children. At least one of them is a boy. What is the probability that both the children are boys?
- A family has two children. You randomly run into one of the two, and learn that he is a boy. What is the conditional probability that both are boys?
Now, in the first question, we take
- A: Event that both children turn up to be boys
- B: Event that at least one of them is a boy.
We need to calculate $P(A|B)$ where $\Omega = \{BB,BG,GB,GG\}$ $$ P(A|B) = \frac{P(A\cap B)}{P(B)} = \frac{P(\{BB\})}{P(\{BB,BG,GB\})} = \frac{\frac{1}{4}}{\frac{3}{4}} = \frac{1}{3} $$ For the second question, we already have seen the first child which is B. The second child can either be B or G and the probability of that happening is $\frac{1}{2}$.
I fail to understand these different answers. In both the questions, the prior information we have is the same i.e. one of the children is B. Why are we getting different answers then?