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*Explain this like I'm dumb and waited for the last minute to do my assignment.* Explain...

*Explain this like I'm dumb and waited for the last minute to do my assignment.*

Explain in everyday terms the central limit theorem. In particular, what does it say about the shape of the sampling distribution of means under different parent distribution shapes?

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Answer #1

Answer:

Suppose we take 100 samples of size 30 each from the population of male and find their mean height. Now with a plot the histogram of these samples means we find that it looks like a normal curve.

According to the central limit theorem, as the sample increase, the mean of the sampling distribution approaches the normal distribution mean or it becomes more like a normal distribution.

It's shape is bell shaped

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