The central limit theorem defines large samples as having at least 36 elements. true or false.

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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