Central Limit Theorem
Central Limit Theorem
Definition
The central limit theorem is a key principle of probability theory. It states that provided a sufficiently large sample is taken of an independent random variable the mean of all samples will be roughly equal to the average of the population. By definition the theory is the mean of each sample will form a normal distribution bell curve (see Z score).
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