Mathematics, 25.02.2020 01:32 marmar72
Show using the definition of expected values for discrete random variables that for a discrete random variable, X, E(g(X)) = βg(x) p(x) where g(x) is linear.
That is, show the formula is true assuming that g(x) = ax + b. You are showing that a special case of the equation is true; therefore, you may not use that formula in the derivation.
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Show using the definition of expected values for discrete random variables that for a discrete rando...
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