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If in a distribution probability of a random variable X taking the particular value x is `""^(n)C_(x)p^(x)q^(n-x)` where `p+q=1`, and `x=1,2,3, . . . .,n,` find the its mean.

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To find the mean of the given distribution, we can follow these steps: ### Step-by-Step Solution: 1. **Understand the Probability Distribution**: The probability of a random variable \( X \) taking the value \( x \) is given by: \[ P(X = x) = \binom{n}{x} p^x q^{n-x} \] where \( p + q = 1 \) and \( x = 1, 2, \ldots, n \). 2. **Mean Formula**: The mean (or expected value) of a discrete random variable is calculated using the formula: \[ E(X) = \sum_{x=1}^{n} x P(X = x) \] Substituting the expression for \( P(X = x) \): \[ E(X) = \sum_{x=1}^{n} x \cdot \binom{n}{x} p^x q^{n-x} \] 3. **Simplify the Expression**: We can use the identity for combinations: \[ x \cdot \binom{n}{x} = n \cdot \binom{n-1}{x-1} \] Thus, we can rewrite our expression as: \[ E(X) = \sum_{x=1}^{n} n \cdot \binom{n-1}{x-1} p^x q^{n-x} \] 4. **Factor Out Constants**: Since \( n \) is a constant, we can factor it out of the summation: \[ E(X) = n \sum_{x=1}^{n} \binom{n-1}{x-1} p^x q^{n-x} \] 5. **Change the Index of Summation**: Let \( y = x - 1 \). Then when \( x = 1 \), \( y = 0 \) and when \( x = n \), \( y = n - 1 \). The summation becomes: \[ E(X) = n \sum_{y=0}^{n-1} \binom{n-1}{y} p^{y+1} q^{(n-1)-y} \] This can be rewritten as: \[ E(X) = n p \sum_{y=0}^{n-1} \binom{n-1}{y} p^y q^{(n-1)-y} \] 6. **Apply the Binomial Theorem**: The summation \( \sum_{y=0}^{n-1} \binom{n-1}{y} p^y q^{(n-1)-y} \) is equal to \( (p + q)^{n-1} \) by the Binomial Theorem. Since \( p + q = 1 \): \[ \sum_{y=0}^{n-1} \binom{n-1}{y} p^y q^{(n-1)-y} = 1^{n-1} = 1 \] 7. **Final Calculation**: Therefore, we have: \[ E(X) = n p \cdot 1 = n p \] ### Conclusion: The mean of the distribution is: \[ \text{Mean} = n p \]
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