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A comment on The Central Limit Theorem and Its Misuse. Parent comment
Smaller samples have higher variance and their means probably won’t converge as fast to a normal distribution.
“Samples” of one, in isolation, have no defined variance and you can’t use them to infer anything.
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Smaller samples have higher variance and their means probably won’t converge as fast to a normal distribution.
“Samples” of one, in isolation, have no defined variance and you can’t use them to infer anything.