In this case, our dice has special properties compared to a normal 6-sided dice.
We can define the dice as having the following results: {a, b, b, c, c, c}
Now, all we have to do is determine $Pr(A \cap B)$ and $Pr(B)$ to determine $Pr(A|B)$ using the independence formula.
$Pr(B)$ represents the probability of at least one of the rolls resulting in the letter $a$. To make this easier to visualize, we can draw out a table of all possible outcomes between the two dice rolls.
$|S|$ = the sample space of all possible rolls = $6 \times 6 = 36$
Die 2: a | Die 2: b | Die 2: b | Die 2: c | Die 2: c | Die 2: c | |
---|---|---|---|---|---|---|
Die 1: a | (a,a) | (a,b) | (a,b) | (a,c) | (a,c) | (a,c) |
Die 1: b | (b,a) | (b,b) | (b,b) | (b,c) | (b,c) | (b,c) |
Die 1: c | (c,a) | (c,b) | (c,b) | (c,c) | (c,c) | (c,c) |
As we can see from the table, there are 11 possible outcomes that have at least 1 $a$ in them. Therefore, $Pr(B) = \frac{|B|}{|S|} = \frac{11}{36}$.
For $Pr(A \cap B)$, we only care about the cases when both rolls result in the same letter AND at least one of the rolls result in the letter $a$.
From the table, we can see that there is only 1 possible outcome that satisfies both conditions, which is the case where both dice roll an $a$. Therefore, $Pr(A \cap B) = \frac{|A \cap B|}{|S|} = \frac{1}{36}$.
Given this, we can now calculate $Pr(A|B)$ using the independence formula:
$ Pr(A|B) = \frac{ Pr(A \cap B) }{ Pr(B) } = \frac{ \frac{1}{36} }{ \frac{11}{36} } = \frac{1}{11} $