The Central Limit Theorem states that the sampling distribution of the sample means approaches a ________ distribution as the sample size gets larger, regardless of the shape of the population distribution.

The Central Limit Theorem is a fundamental theorem in statistics that states that the sampling distribution of the sample means approaches a normal distribution as the sample size gets larger, no matter what the shape of the population distribution. This outcome is significant because it enables us to make statistical inferences about the population mean based on the distribution of sample means.