The Moment Generating Function Theorem states that the moment generating function (MGF) of a random variable, if it exists, uniquely determines the distribution of that variable. The MGF is a powerful tool in probability and statistics because it can be used to compute all moments of the distribution, as well as simplify the process of finding the distribution of sums of independent random variables.
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