This latest video ties together three recent topics we’ve covered: The central limit theorem, why π is in the formula for a Gaussian, and convolutions. It offers a very pleasing visual trick for how to compute the sum of two normally-distributed variables and discusses how this relates to the central limit theorem.
So why are normal distributions "central limits"?
Where did you learn all this from
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