Step 1: Understanding the Concept:
This question asks for the conditional probability of event A given that event B has occurred, denoted as \(P(A|B)\). This is a direct application of the definition of conditional probability.
Step 2: Key Formula or Approach:
The formula for the conditional probability of A given B is:
\[ P(A|B) = \frac{P(A \cap B)}{P(B)} \]
where \(P(A \cap B)\) is the probability of both A and B occurring, and \(P(B)\) is the probability of B occurring, with the condition that \(P(B) \neq 0\).
Step 3: Detailed Explanation or Calculation:
We are given the following probabilities:
\[ P(B) = \frac{9}{13} \]
\[ P(A \cap B) = \frac{4}{13} \]
Using the formula for conditional probability:
\[ P(A|B) = \frac{P(A \cap B)}{P(B)} = \frac{4/13}{9/13} \]
The denominators (13) cancel out:
\[ P(A|B) = \frac{4}{9} \]
Step 4: Final Answer:
The value of \(P(A|B)\) is \(\frac{4}{9}\).