If the population distribution is skewed,in most cases the sampling distribution of the mean can be approximated by the normal distribution if the samples contain at least 30 observations.

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Quizplus · Accepted Answer

This is known as the Central Limit Theorem, which states that as sample size increases, the sampling distribution of the mean approaches a normal distribution regardless of the shape of the population distribution. However, this approximation becomes more accurate as the sample size increases beyond 30.

If the Population Distribution Is Skewed,in Most Cases the Sampling