Statistics - 7.1 The Central Limit Theorem

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In this video, we're going to learn about the Central Limit Theorem (CLT). We'll discuss the conditions that must be met for the theorem to apply, and we'll see how to use the normal model to calculate sample averages.

This is literally the most important theorem and what we base the rest of our course on. The CLT tells us that if certain conditions are met, we can use the normal model to estimate certain parameters of the population based on sample data.

0:00 Intro
0:05 What the Central Limit Theorem Tells Us
2:43 Requirements for the CLT and the Results
4:42 Applying the Central Limit Theorem
7:15 Applying the CLT on Your Own
9:19 Up Next

This playlist follows the text, Beginning Statistics, 3rd ed, Warren, Denley, Atchley

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