Q. The Central Limit Theorem is commonly referred to as the Statistician's Full Employment Act as it is the basis for much of what is done in statistics. This theory is at the core of many methods and analyses.

A) Run the simulation using n = 30 and N = 10 for a uniform, a bell-shaped, and a skewed distribution.

B) Identify the mean of the sampling distribution of sample means for each distribution.

C) Evaluate if the results are what you expected for each distribution.

D) Run the simulation again using n = 30 and N = 1000 for a skewed distribution.

E) Describe the shape of the distribution of sample means.

F) Discuss how this increased your understanding of the Central Limit Theorem.