For the sampling distribution of sample means, sampling error will decrease as sample size increases.

Name: For the sampling distribution of sample means, sampling error will decrease as sample size increases.
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This is known as the central limit theorem, which states that the sampling distribution will approach a normal distribution with a smaller standard deviation (i.e. more precise estimates) as sample size increases.

For the Sampling Distribution of Sample Means, Sampling Error Will