Central Limit Theorem - Deepstash
Central Limit Theorem

Central Limit Theorem

The sampling distribution of the mean will always be normally distributed, as long as the sample size is large enough.

Multiple samples, n>= 30.

Sample mean is populated in pdf.

And then creates Normal distribution.

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The probability of an event based on data from a small group within a large population. Its primary purpose is to establish representative results of small samples of a comparatively larger population.

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