The MGF of a random variable \( X \), \( M(t) \), is given by \( M(t) = E(e^{tX}) \). For the given MGF \( M(t) = 0.45 e^t + 0.35 e^{2t} + 0.15 e^{3t} + 0.05 e^{4t} \), we can interpret this as \( X \) being a discrete random variable taking values 1, 2, 3, and 4
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