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A man is known to speak truth 3 out of 4...

A man is known to speak truth 3 out of 4 times. He takes out a card at random from a well shuffled pack of 52 playing cards, and reports it is a king. The probability that its actually a king is

A

`1/4`

B

`3/4`

C

`4/5`

D

`1/5`

Text Solution

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The correct Answer is:
To solve the problem, we need to find the probability that the card drawn is actually a king given that the man reports it as a king. We will use Bayes' theorem to calculate this conditional probability. ### Step-by-Step Solution: 1. **Define Events**: - Let \( A \) be the event that the card drawn is actually a king. - Let \( B \) be the event that the man reports the card as a king. 2. **Given Probabilities**: - The probability that the man speaks the truth, \( P(T) = \frac{3}{4} \). - The probability that the man speaks falsely, \( P(F) = 1 - P(T) = \frac{1}{4} \). - The probability of drawing a king from a deck of 52 cards, \( P(A) = \frac{4}{52} = \frac{1}{13} \). - The probability of not drawing a king, \( P(A') = 1 - P(A) = \frac{12}{13} \). 3. **Calculate \( P(B|A) \)**: - If the card is actually a king, the probability that he reports it as a king (truth) is \( P(B|A) = P(T) = \frac{3}{4} \). 4. **Calculate \( P(B|A') \)**: - If the card is not a king, the probability that he reports it as a king (lie) is \( P(B|A') = P(F) = \frac{1}{4} \). 5. **Apply Bayes' Theorem**: - We want to find \( P(A|B) \): \[ P(A|B) = \frac{P(B|A) \cdot P(A)}{P(B)} \] - To find \( P(B) \), we use the law of total probability: \[ P(B) = P(B|A) \cdot P(A) + P(B|A') \cdot P(A') \] - Substitute the values: \[ P(B) = \left(\frac{3}{4} \cdot \frac{1}{13}\right) + \left(\frac{1}{4} \cdot \frac{12}{13}\right) \] \[ P(B) = \frac{3}{52} + \frac{12}{52} = \frac{15}{52} \] 6. **Final Calculation**: - Now substitute \( P(B) \) back into Bayes' theorem: \[ P(A|B) = \frac{P(B|A) \cdot P(A)}{P(B)} = \frac{\left(\frac{3}{4} \cdot \frac{1}{13}\right)}{\frac{15}{52}} \] \[ P(A|B) = \frac{\frac{3}{52}}{\frac{15}{52}} = \frac{3}{15} = \frac{1}{5} \] ### Conclusion: The probability that the card is actually a king given that it is reported as a king is \( \frac{1}{5} \).
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