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A man firing a distant target has 20% ch...

A man firing a distant target has `20%` chance of hitting the target in one shot. If P be the probability of hitting the target in atmost 'n' attempts where `20P^(2)-13P+2 le0`. then maximum value of n is.

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To solve the problem, we need to find the maximum value of \( n \) such that the probability \( P \) of hitting a target in at most \( n \) attempts satisfies the inequality: \[ 20P^2 - 13P + 2 \leq 0 \] ### Step 1: Solve the quadratic inequality First, we need to solve the quadratic equation: \[ 20P^2 - 13P + 2 = 0 \] Using the quadratic formula \( P = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a} \), where \( a = 20 \), \( b = -13 \), and \( c = 2 \): \[ P = \frac{13 \pm \sqrt{(-13)^2 - 4 \cdot 20 \cdot 2}}{2 \cdot 20} \] Calculating the discriminant: \[ (-13)^2 - 4 \cdot 20 \cdot 2 = 169 - 160 = 9 \] Now substituting back into the formula: \[ P = \frac{13 \pm 3}{40} \] This gives us two solutions: \[ P_1 = \frac{16}{40} = \frac{2}{5}, \quad P_2 = \frac{10}{40} = \frac{1}{4} \] ### Step 2: Determine the range of \( P \) The quadratic opens upwards (since \( a = 20 > 0 \)), so the inequality \( 20P^2 - 13P + 2 \leq 0 \) holds between the roots: \[ \frac{1}{4} \leq P \leq \frac{2}{5} \] ### Step 3: Find the probability of hitting the target Given that the man has a 20% chance of hitting the target in one shot, we have: \[ p_H = \frac{1}{5} \] The probability of missing the target in one shot is: \[ p_H' = 1 - p_H = 1 - \frac{1}{5} = \frac{4}{5} \] ### Step 4: Probability of hitting the target in at most \( n \) attempts The probability of hitting the target in at most \( n \) attempts can be expressed as: \[ P = 1 - \left( \frac{4}{5} \right)^n \] ### Step 5: Set up the inequality We need to satisfy: \[ \frac{1}{4} \leq 1 - \left( \frac{4}{5} \right)^n \leq \frac{2}{5} \] ### Step 6: Solve the inequalities 1. **For the left inequality:** \[ \frac{1}{4} \leq 1 - \left( \frac{4}{5} \right)^n \] This simplifies to: \[ \left( \frac{4}{5} \right)^n \leq \frac{3}{4} \] Taking logarithm on both sides: \[ n \log\left( \frac{4}{5} \right) \leq \log\left( \frac{3}{4} \right) \] Since \( \log\left( \frac{4}{5} \right) < 0 \), we reverse the inequality: \[ n \geq \frac{\log\left( \frac{3}{4} \right)}{\log\left( \frac{4}{5} \right)} \] Calculating the values: \[ \log\left( \frac{3}{4} \right) \approx -0.1249, \quad \log\left( \frac{4}{5} \right) \approx -0.0969 \] Thus: \[ n \geq \frac{-0.1249}{-0.0969} \approx 1.29 \] So \( n \geq 2 \). 2. **For the right inequality:** \[ 1 - \left( \frac{4}{5} \right)^n \leq \frac{2}{5} \] This simplifies to: \[ \left( \frac{4}{5} \right)^n \geq \frac{3}{5} \] Taking logarithm on both sides: \[ n \log\left( \frac{4}{5} \right) \geq \log\left( \frac{3}{5} \right) \] Reversing the inequality: \[ n \leq \frac{\log\left( \frac{3}{5} \right)}{\log\left( \frac{4}{5} \right)} \] Calculating the values: \[ \log\left( \frac{3}{5} \right) \approx -0.2218 \] Thus: \[ n \leq \frac{-0.2218}{-0.0969} \approx 2.29 \] So \( n \leq 2 \). ### Conclusion Combining both inequalities, we find: \[ 2 \leq n \leq 2 \] Thus, the maximum value of \( n \) is: \[ \boxed{2} \]

To solve the problem, we need to find the maximum value of \( n \) such that the probability \( P \) of hitting a target in at most \( n \) attempts satisfies the inequality: \[ 20P^2 - 13P + 2 \leq 0 \] ### Step 1: Solve the quadratic inequality ...
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