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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.
— Begin by running the simulation using n = 30 and N = 10 for a uniform, a bell-shaped, and a skewed
distribution.
— Compare the means from the first section (population) and third section (distribution of sample means).
— Note the shape of the distribution of sample means (green graph in third section).
— Evaluate if the results are what you expected for each distribution.
[meteor_slideshow slideshow=”arp2″]
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