The central-limit theorem states that as the sample size increases, the distribution of the sample mean from a nonprobability selected sample approaches a normal distribution.

Name: The central-limit theorem states that as the sample size increases, the distribution of the sample mean from a nonprobability selected sample approaches a normal distribution.
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The central-limit theorem applies to samples that are randomly selected; it does not specify nonprobability samples.

The Central-Limit Theorem States That as the Sample Size Increases