The Central Limit Theorem proves that the sampling distribution of sample means tends to approximate a normal distribution when the sample size becomes larger.

Question

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This is a core concept of the Central Limit Theorem, which states that as the sample size increases, the distribution of the sample means will become more normally distributed regardless of the original population distribution.

The Central Limit Theorem Proves That the Sampling Distribution of Sample