Question

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

Explanation:

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