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Let a random variable X have a binomial ...

Let a random variable X have a binomial distribution with mean 8 and variance 4. If `P(x le2)=(k)/(2^(16))`, then `(k-47)/(10)` is equal to __________.

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To solve the problem, we will follow these steps: ### Step 1: Understand the properties of the binomial distribution The mean (μ) and variance (σ²) of a binomial distribution with parameters n (number of trials) and p (probability of success) are given by: - Mean: \( \mu = np \) - Variance: \( \sigma^2 = npq \) where \( q = 1 - p \) ### Step 2: Set up the equations based on the given mean and variance From the problem, we know: - Mean \( np = 8 \) - Variance \( npq = 4 \) ### Step 3: Express q in terms of p Since \( q = 1 - p \), we can substitute this into the variance equation: \[ np(1 - p) = 4 \] ### Step 4: Substitute np from the mean into the variance equation From the mean equation, we have \( n = \frac{8}{p} \). Substituting this into the variance equation gives: \[ \frac{8}{p} \cdot p \cdot (1 - p) = 4 \] This simplifies to: \[ 8(1 - p) = 4 \] \[ 8 - 8p = 4 \] \[ 8p = 4 \] \[ p = \frac{1}{2} \] ### Step 5: Find q Now, since \( q = 1 - p \): \[ q = 1 - \frac{1}{2} = \frac{1}{2} \] ### Step 6: Substitute p back to find n Using \( np = 8 \): \[ n \cdot \frac{1}{2} = 8 \] \[ n = 16 \] ### Step 7: Calculate \( P(X \leq 2) \) We need to find \( P(X \leq 2) \): \[ P(X \leq 2) = P(X = 0) + P(X = 1) + P(X = 2) \] Using the binomial probability formula: \[ P(X = k) = \binom{n}{k} p^k q^{n-k} \] Calculating each term: 1. \( P(X = 0) = \binom{16}{0} \left(\frac{1}{2}\right)^0 \left(\frac{1}{2}\right)^{16} = 1 \cdot 1 \cdot \frac{1}{65536} = \frac{1}{65536} \) 2. \( P(X = 1) = \binom{16}{1} \left(\frac{1}{2}\right)^1 \left(\frac{1}{2}\right)^{15} = 16 \cdot \frac{1}{2} \cdot \frac{1}{32768} = \frac{16}{65536} \) 3. \( P(X = 2) = \binom{16}{2} \left(\frac{1}{2}\right)^2 \left(\frac{1}{2}\right)^{14} = 120 \cdot \frac{1}{4} \cdot \frac{1}{16384} = \frac{120}{65536} \) ### Step 8: Sum the probabilities Now, we sum these probabilities: \[ P(X \leq 2) = \frac{1 + 16 + 120}{65536} = \frac{137}{65536} \] ### Step 9: Relate to the given equation We know from the problem that: \[ P(X \leq 2) = \frac{k}{2^{16}} \] Thus, \[ \frac{137}{65536} = \frac{k}{65536} \] This implies \( k = 137 \). ### Step 10: Calculate \( \frac{k - 47}{10} \) Now, we need to find: \[ \frac{k - 47}{10} = \frac{137 - 47}{10} = \frac{90}{10} = 9 \] ### Final Answer Thus, the final answer is: \[ \boxed{9} \]

To solve the problem, we will follow these steps: ### Step 1: Understand the properties of the binomial distribution The mean (μ) and variance (σ²) of a binomial distribution with parameters n (number of trials) and p (probability of success) are given by: - Mean: \( \mu = np \) - Variance: \( \sigma^2 = npq \) where \( q = 1 - p \) ### Step 2: Set up the equations based on the given mean and variance ...
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