Let X be a random variable with p.d.f: f(x) = { 0.3 , x = -2 0.1 , x = 0 0.4 , x = 1 0.2 , x = 3 0 , o.w The moment generating function of X is m(t) = 0.1 + 0.3e^{-2t} + 0.4e^t + 0.2e^{3t} m(t) = 0.2e^{-2t} + 0.2e^t + 0.1e^{3t} m(t) = 0.4 + 0.3e^{-2t} + 0.8e^t + 1e^{3t} none of them m(t) = 0.4 + 0.3e^{-t} + 0.1e^t + 0.1e^{3t}
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The moment generating function \( m(t) \) of a random variable \( X \) is defined as \( m(t) = E[e^{tX}]\), where \( E \) denotes the expectation. Show more…
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