It is
FALSE that the Central Limit Theorem defines large samples as having at least
36 elements.
The central limit theorem
(CLT) is a statistical theory that states that given a sufficiently large
sample size from a population with a finite level of variance, the mean of all
samples from the same population will be approximately equal to the mean of the
population.
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