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What is Sampling Distributions & Central Limit Theorem about?

This document discusses sampling distributions of sample means and the central limit theorem. It explains that a sampling distribution is the distribution of means from all possible random samples of a given size from a population. Sampling error is the difference between a sample measure and the corresponding population measure due to samples not perfectly representing populations. The central limit theorem states that if the sample size is large enough, sample means will follow a normal distribution, and

Author

Jackleen Rose Jubelea

Language

EN