7: The Central Limit Theorem — Read

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7.1: Introduction to the Central Limit Theorem
Why are we so concerned with means? Two reasons are: they give us a middle ground for comparison, and they are easy to calculate. In this chapter, you will study means and the Central Limit Theorem.
7.2: The Central Limit Theorem for Sample Means
The Central Limit Theorem answers the question: from what distribution did a sample mean come? If this is discovered, then we can treat a sample mean just like any other observation and calculate probabilities about what values it might take on. We have effectively moved from the world of statistics where we know only what we have from the sample, to the world of probability where we know the distribution from which the sample mean came and the parameters of that distribution.
7.3: Using the Central Limit Theorem
7.4: The Central Limit Theorem for Proportions
7.5: Finite Population Correction Factor
7.6: Chapter Formula Review
7.7: Chapter Homework
7.8: Chapter Key Terms
7.9: Chapter Practice
7.10: Chapter References
7.11: Chapter Review
7.12: Chapter Solution (Practice + Homework)

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