The question asks for a conditional probability. We need to find the probability that one of the three dice shows an ace ('1'), given the condition that all three dice show different numbers.
Conditional probability measures the likelihood of an event occurring when another event is known to have already occurred. The formula is:
\( P(A|B) = \frac{P(A \cap B)}{P(B)} \)
Where:
For problems involving counting outcomes, like this dice rolling scenario, we can use the number of outcomes directly:
\( P(A|B) = \frac{\text{Number of outcomes favourable to both A and B}}{\text{Number of outcomes favourable to B}} \)
In this problem:
We need to calculate \( P(A|B) \). Let's find the number of outcomes for event B and for the intersection event \( A \cap B \).
First, let's calculate the total number of ways to roll three dice such that no two show the same face (Event B).
The total number of outcomes where all three dice show distinct faces is:
\( N(B) = 6 \times 5 \times 4 = 120 \)
This count (120) represents the size of our reduced sample space because we are given this condition.
Now, let's find the number of outcomes that satisfy both conditions: the faces are distinct AND one of the faces is an ace ('1') (Event \( A \cap B \)).
We need outcomes where the three dice show '1' and two other distinct numbers from the set {2, 3, 4, 5, 6}.
We can determine this count using the following steps:
\( \binom{5}{2} = \frac{5!}{2!(5-2)!} = \frac{5 \times 4}{2 \times 1} = 10 \)
So there are 10 possible sets of three distinct numbers that include '1' (e.g., {1, 2, 3}, {1, 2, 4}, ..., {1, 5, 6}).\( 3! = 3 \times 2 \times 1 = 6 \)
For example, the set {1, 2, 3} can be arranged as (1, 2, 3), (1, 3, 2), (2, 1, 3), (2, 3, 1), (3, 1, 2), (3, 2, 1).\( N(A \cap B) = \binom{5}{2} \times 3! = 10 \times 6 = 60 \)
Alternatively, we can think about placing the numbers directly:
Thus, there are 60 outcomes where the three dice show distinct faces and one of them is an ace ('1').
We can now calculate the conditional probability \( P(A|B) \) using the formula:
\( P(\text{One face is Ace} | \text{All faces are distinct}) = \frac{N(A \cap B)}{N(B)} \)
Substituting the values we found:
\( P(A|B) = \frac{60}{120} \)
Simplifying the fraction:
\( P(A|B) = \frac{1}{2} \)
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