Central Limit Theorem Application

Applying the theorem to the sample median instead of the sample mean.

Relying solely on the shape of the population distribution to determine the sampling distribution’s normality.

Assuming normality of the sampling distribution regardless of the sample size.

Assuming that the distribution of the sample mean is approximately normal when the sample size is large (n ≥ 30), even if the population distribution is not normal.