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Five coins are tossed 3200 times. Using ...

Five coins are tossed 3200 times. Using the Poisson distribution , the approximate probability of getting five heads 2 times is

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To solve the problem of finding the approximate probability of getting five heads 2 times when tossing five coins 3200 times using the Poisson distribution, we can follow these steps: ### Step 1: Define the Problem We are tossing 5 coins 3200 times. We want to find the probability of getting exactly 5 heads (which is the maximum possible when tossing 5 coins) exactly 2 times. ### Step 2: Determine the Probability of Getting 5 Heads in One Toss When tossing 5 coins, the probability of getting heads for each coin is \( \frac{1}{2} \). Therefore, the probability of getting 5 heads in one toss is: \[ P(\text{5 heads}) = \left(\frac{1}{2}\right)^5 = \frac{1}{32} \] ### Step 3: Calculate the Expected Number of Times to Get 5 Heads Let \( n = 3200 \) (the number of trials), and \( p = \frac{1}{32} \) (the probability of success). The expected number of occurrences (mean) of getting 5 heads is: \[ \lambda = n \cdot p = 3200 \cdot \frac{1}{32} = 100 \] ### Step 4: Use the Poisson Distribution The Poisson distribution can be used to approximate the probability of getting exactly \( k \) occurrences (in this case, \( k = 2 \)) when the mean number of occurrences is \( \lambda \). The formula for the Poisson probability is: \[ P(X = k) = \frac{e^{-\lambda} \lambda^k}{k!} \] Substituting \( \lambda = 100 \) and \( k = 2 \): \[ P(X = 2) = \frac{e^{-100} \cdot 100^2}{2!} \] ### Step 5: Calculate \( P(X = 2) \) Calculating \( 2! \): \[ 2! = 2 \] Now substituting into the formula: \[ P(X = 2) = \frac{e^{-100} \cdot 100^2}{2} = \frac{e^{-100} \cdot 10000}{2} = 5000 e^{-100} \] ### Conclusion The approximate probability of getting five heads 2 times when tossing five coins 3200 times is: \[ P(X = 2) \approx 5000 e^{-100} \]
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