I How Does the MGF Indicate Equal Likelihood in Variable Distribution?

fisher garry
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I don't understand what they are doing here. They start with the mgf for the binomial which I understand. But what is ##E[e^{tX}]##? The average of the binomial mgf? And finally why does this explain that X is equally likely to take on any of the values 0,1,..,n?
 
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##E[e^{tX}]## is the Unconditional mgf of ##X##. Contrast that with the first line in the proof, which gives the Conditional mgf of ##X##.

The above shows that the Unconditional mgf is identical to the mgf of a random variable that is equally likely to take any of the values 1, 2, ..., n.

It is a theorem of probability theory that a mgf is a complete specification of a distribution, so if two random variables have the same mgf, they have the same distribution.

Hence, ##X## has the distribution of a random variable that is equally likely to take on any of the values 1, 2, ..., n. Hence, ##X## is equally likely to take on any of the values 1, 2, ..., n.
 
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