The fact that the sum of independent normal random variables is normal is a widely used result in probability. Two standard proofs are taught, one using convolutions and the other moment generating functions, but neither gives much insight into why the result is true. In this paper we give two additional arguments for why the sum of independent normal random variables should be normal.
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