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Statistics for the Behavioral Sciences - NYU Open Edu 14 Online
OpenStudy (anonymous):

Suppose X N(μ,σ ^2) define M(t)=E(exp tX), where t can be any value, f(x) is the pdf of X, E is the expectation. prove M(t)=exp((1/2σ ^2)*((μ+tσ ^2)^2-σ ^2))

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