In this video I show the derivation of MGF for a normally distributed variable using a key result of the MGF functions. We start with a MGF for standard normal [which we derived in the previous video: #4 ] and note that a normal variable Y is just = miu + sigma*X, where X is STANDARD normally distributed with mean 0 and variance 1.
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