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If the probability of hitting a target b...

If the probability of hitting a target by a shooter, in any shot is 1/3, then the minimum number of independent shots at the target required by him so that the probability of hitting the target at least once is greater than `(5)/(6)` is

A

6

B

5

C

4

D

3

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The correct Answer is:
To solve the problem, we need to determine the minimum number of independent shots required by a shooter such that the probability of hitting a target at least once is greater than \( \frac{5}{6} \). ### Step-by-Step Solution: 1. **Identify the Probability of Hitting and Missing the Target**: - The probability of hitting the target in any shot is given as \( P(H) = \frac{1}{3} \). - Therefore, the probability of missing the target is \( P(M) = 1 - P(H) = 1 - \frac{1}{3} = \frac{2}{3} \). 2. **Define the Probability of Hitting at Least Once**: - The probability of hitting the target at least once in \( n \) shots can be expressed as: \[ P(\text{at least one hit}) = 1 - P(\text{no hits in } n \text{ shots}) \] - The probability of missing the target in all \( n \) shots is: \[ P(\text{no hits}) = \left( \frac{2}{3} \right)^n \] - Therefore, we have: \[ P(\text{at least one hit}) = 1 - \left( \frac{2}{3} \right)^n \] 3. **Set Up the Inequality**: - We want the probability of hitting at least once to be greater than \( \frac{5}{6} \): \[ 1 - \left( \frac{2}{3} \right)^n > \frac{5}{6} \] - Rearranging this gives: \[ \left( \frac{2}{3} \right)^n < \frac{1}{6} \] 4. **Take Logarithms**: - To solve for \( n \), we take the logarithm of both sides: \[ \log\left(\left( \frac{2}{3} \right)^n\right) < \log\left(\frac{1}{6}\right) \] - This simplifies to: \[ n \cdot \log\left(\frac{2}{3}\right) < \log\left(\frac{1}{6}\right) \] 5. **Calculate the Logarithms**: - Since \( \log\left(\frac{2}{3}\right) \) is negative, we can divide by it, which will reverse the inequality: \[ n > \frac{\log\left(\frac{1}{6}\right)}{\log\left(\frac{2}{3}\right)} \] 6. **Evaluate the Right-Hand Side**: - We can calculate \( \log\left(\frac{1}{6}\right) \) and \( \log\left(\frac{2}{3}\right) \): - \( \log\left(\frac{1}{6}\right) = \log(1) - \log(6) = 0 - \log(6) = -\log(6) \) - \( \log\left(\frac{2}{3}\right) = \log(2) - \log(3) \) - Thus: \[ n > \frac{-\log(6)}{\log(2) - \log(3)} \] 7. **Approximate Values**: - Using approximate values \( \log(2) \approx 0.301 \) and \( \log(3) \approx 0.477 \): - \( \log(6) = \log(2) + \log(3) \approx 0.301 + 0.477 = 0.778 \) - Therefore: \[ n > \frac{0.778}{0.301 - 0.477} = \frac{0.778}{-0.176} \approx -4.42 \] - Since \( n \) must be a positive integer, we need to check integer values. 8. **Check Integer Values**: - Testing \( n = 5 \): \[ \left( \frac{2}{3} \right)^5 = \frac{32}{243} \approx 0.1317 < \frac{1}{6} \approx 0.1667 \] - Testing \( n = 4 \): \[ \left( \frac{2}{3} \right)^4 = \frac{16}{81} \approx 0.1975 > \frac{1}{6} \] - Therefore, the minimum \( n \) that satisfies the condition is \( n = 5 \). ### Final Answer: The minimum number of independent shots required is \( \boxed{5} \).
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