Chapter 6. Sampling Distributions and Confidence Intervals

6.1 Foundational Concepts

6.2 Sampling Error and Confidence Intervals

6.3 Confidence Interval Estimate for the Mean Using the t Distribution (σ Unknown)

6.4 Confidence Interval Estimation for Categorical Variables

6.5 Bootstrapping Estimation

Important Equations

One-Minute Summary

Test Yourself

Inferential statistics relies on the principle that sample statistics can be used to reach conclusions about population parameters. The idea that a small part of a much larger thing, a sample, can be used to reach conclusions about that much larger thing, a population, at first seems counterintuitive and that causes some people to be dismissive about inferential methods.

This chapter explains the ...

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