Step 1: Understanding the Concept:
This is a classic conditional probability problem that requires using Bayes' Theorem to find the posterior probability of an event after receiving a report.
Key Formula or Approach:
Bayes' Theorem is given by:
\[ P(A|B) = \frac{P(A) \cdot P(B|A)}{P(A) \cdot P(B|A) + P(A^c) \cdot P(B|A^c)} \]
Step 2: Detailed Explanation:
Let us define the events systematically:
- Let \( S \) be the event that a six actually occurs when the die is rolled.
The probability of rolling a six is:
\[ P(S) = \frac{1}{6} \]
- Let \( S^c \) be the event that a six does not occur.
The probability of not rolling a six is:
\[ P(S^c) = \frac{5}{6} \]
- Let \( R \) be the event that the person reports rolling a six.
Now, let us determine the conditional probabilities based on the person's truthfulness:
- The person speaks the truth with probability \( 4/5 \).
- If a six actually occurred (\( S \)), the person reports a six (\( R \)) only if they are telling the truth:
\[ P(R|S) = \frac{4}{5} \]
- If a six did not occur (\( S^c \)), the person reports a six (\( R \)) only if they are lying:
\[ P(R|S^c) = 1 - P(\text{Truth}) = 1 - \frac{4}{5} = \frac{1}{5} \]
We want to find \( P(S|R) \), the probability that a six actually occurred given that the person reported a six.
Apply Bayes' Theorem:
\[ P(S|R) = \frac{P(S) \cdot P(R|S)}{P(S) \cdot P(R|S) + P(S^c) \cdot P(R|S^c)} \]
Substitute the probabilities into the formula:
\[ P(S|R) = \frac{\frac{1}{6} \times \frac{4}{5}}{\left(\frac{1}{6} \times \frac{4}{5}\right) + \left(\frac{5}{6} \times \frac{1}{5}\right)} \]
\[ P(S|R) = \frac{\frac{4}{30}}{\frac{4}{30} + \frac{5}{30}} \]
\[ P(S|R) = \frac{4}{4 + 5} = \frac{4}{9} \]
Step 3: Final Answer:
The probability that there actually was a six is \( 4/9 \).
Therefore, the correct choice is Option (A).