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(Solved): (Accuracy) Let Xi for i=1,,n be independent random variables with E(Xi)= and V(Xi)= ...




(Accuracy) Let \( X_{i} \) for \( i=1, \cdots, n \) be independent random variables with \( E\left(X_{i}\right)=\mu \) and \(
(Accuracy) Let for be independent random variables with and for all . Let Find the following: (a) (b) (c)


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(a) We know that the expected value of a sum of random variables is the sum of their expected values. Using this property, we have: E(U) = E(X1 + X2 + ... + Xn) = E(X1) + E(X2) + ... + E(Xn) =    E(U) =   
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