when the population is not normally distributed, the sampling distribution of the mean approximates which of…

when the population is not normally distributed, the sampling distribution of the mean approximates which of the following? a. a slight positive skew b. a normal distribution given a large enough sample c. a distribution that is not normal d. a normal distribution select one a 10 points

when the population is not normally distributed, the sampling distribution of the mean approximates which of the following? a. a slight positive skew b. a normal distribution given a large enough sample c. a distribution that is not normal d. a normal distribution select one a 10 points

Answer

Brief Explanations:

The Central Limit Theorem states that when the sample size is large enough (usually (n\geq30)), regardless of the shape of the population distribution, the sampling distribution of the sample - mean will approximate a normal distribution.

Answer:

B. A normal distribution given a large enough sample