Step 1: Conceptualization: This scenario involves conditional probability. Given information (the black die's outcome) narrows the sample space, requiring the calculation of another event's probability within this restricted space.
Step 2: Methodology: Define event A as "the sum exceeding 9" and event B as "the black die showing a 5". The objective is to compute P(A|B), the probability of A given B. The formula is $P(A|B) = \frac{P(A \cap B)}{P(B)}$. A simpler approach is to directly analyze the reduced sample space.
Step 3: Detailed Analysis: Employing the reduced sample space method, consider event B, "the black die resulted in a 5", as having occurred. The possible outcomes are restricted to those where the first die is a 5. The reduced sample space S' is: S' = {(5, 1), (5, 2), (5, 3), (5, 4), (5, 5), (5, 6)}. The total count of outcomes in S' is n(S') = 6.
Next, identify outcomes within S' that satisfy event A, "the sum is greater than 9". Sums for each outcome in S' are:
(5, 1): sum = 6
(5, 2): sum = 7
(5, 3): sum = 8
(5, 4): sum = 9 (not greater than 9)
(5, 5): sum = 10 (greater than 9)
(5, 6): sum = 11 (greater than 9)
Favorable outcomes are {(5, 5), (5, 6)}, totaling 2.
The probability is calculated as the ratio of favorable outcomes to the total outcomes in the reduced sample space.
\[ P(A|B) = \frac{\text{Number of favorable outcomes}}{\text{Total number of outcomes in reduced sample space}} = \frac{2}{6} = \frac{1}{3} \]
Step 4: Conclusion: The determined probability is $\frac{1{3}$}.