It is impossible to apply the central limit theorem if the population does not follow a normal distribution.

Name: It is impossible to apply the central limit theorem if the population does not follow a normal distribution.
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The central limit theorem states that the sampling distribution of the sample mean will approach a normal distribution as the sample size becomes large, regardless of the shape of the population distribution.

It Is Impossible to Apply the Central Limit Theorem If