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A and B try to hit a target. The probabi...

A and B try to hit a target. The probability that A hits the target is 7/10 and the probability that B hits the target is 4/10. If these two events are independent, the probability that B hits the target, given that the target is hit,is :

A

`17//41`

B

`20//41`

C

`19//41`

D

`18//41`

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AI Generated Solution

The correct Answer is:
To solve the problem, we need to find the probability that B hits the target given that the target is hit. We will use the concept of conditional probability. ### Step-by-Step Solution: 1. **Define the Events**: - Let \( A \) be the event that A hits the target. - Let \( B \) be the event that B hits the target. - The probability that A hits the target is given as \( P(A) = \frac{7}{10} \). - The probability that B hits the target is given as \( P(B) = \frac{4}{10} \). 2. **Calculate the Probabilities of Missing the Target**: - The probability that A does not hit the target is \( P(A') = 1 - P(A) = 1 - \frac{7}{10} = \frac{3}{10} \). - The probability that B does not hit the target is \( P(B') = 1 - P(B) = 1 - \frac{4}{10} = \frac{6}{10} \). 3. **Calculate the Probability that the Target is Hit**: - The target can be hit in three scenarios: 1. A hits and B misses: \( P(A \cap B') = P(A) \cdot P(B') = \frac{7}{10} \cdot \frac{6}{10} = \frac{42}{100} \). 2. A misses and B hits: \( P(A' \cap B) = P(A') \cdot P(B) = \frac{3}{10} \cdot \frac{4}{10} = \frac{12}{100} \). 3. Both A and B hit: \( P(A \cap B) = P(A) \cdot P(B) = \frac{7}{10} \cdot \frac{4}{10} = \frac{28}{100} \). - Therefore, the total probability that the target is hit is: \[ P(\text{Target is hit}) = P(A \cap B') + P(A' \cap B) + P(A \cap B) = \frac{42}{100} + \frac{12}{100} + \frac{28}{100} = \frac{82}{100} = \frac{41}{50}. \] 4. **Calculate the Probability that B Hits the Target and the Target is Hit**: - The scenarios where B hits the target and the target is hit are: 1. A misses and B hits: \( P(A' \cap B) = \frac{12}{100} \). 2. Both A and B hit: \( P(A \cap B) = \frac{28}{100} \). - Therefore, the total probability that B hits the target and the target is hit is: \[ P(B \cap \text{Target is hit}) = P(A' \cap B) + P(A \cap B) = \frac{12}{100} + \frac{28}{100} = \frac{40}{100} = \frac{2}{5}. \] 5. **Apply the Conditional Probability Formula**: - The conditional probability that B hits the target given that the target is hit is given by: \[ P(B | \text{Target is hit}) = \frac{P(B \cap \text{Target is hit})}{P(\text{Target is hit})} = \frac{\frac{2}{5}}{\frac{41}{50}}. \] - Simplifying this gives: \[ P(B | \text{Target is hit}) = \frac{2}{5} \cdot \frac{50}{41} = \frac{100}{205} = \frac{20}{41}. \] ### Final Answer: The probability that B hits the target given that the target is hit is \( \frac{20}{41} \).
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