To find the probability of event A given that event B has occurred, we use the formula for conditional probability:
\[ P(A | B) = \frac{P(A \cap B)}{P(B)} \]
From the information provided:
- The probability of event A occurring and not B (the non-overlapping section of A): \(P(A \cap B') = 0.24\)
- The probability of event B occurring and not A (the non-overlapping section of B): \(P(A' \cap B) = 0.36\)
- The probability of both events A and B occurring (the overlapping section): \(P(A \cap B) = 0.12\)
- The probability of neither event occurring (outside both A and B): \(P(A' \cap B') = 0.28\)
Now, we need to find \(P(B)\), which is the total probability of event B occurring. This can be calculated as follows:
\[ P(B) = P(A \cap B) + P(A' \cap B) \] Substituting the values we have:
\[ P(B) = 0.12 + 0.36 = 0.48 \]
Next, we can now calculate \(P(A | B)\):
\[ P(A | B) = \frac{P(A \cap B)}{P(B)} = \frac{0.12}{0.48} \]
Calculating this gives:
\[ P(A | B) = \frac{12}{48} = \frac{1}{4} = 0.25 \]
Thus, the probability of event A given that event B has occurred is:
\[ \boxed{0.25} \]