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8. Hypothesis Testing

Summary

Hypothesis testing refers to the process of choosing between competing hypotheses about a probability distribution, based on observed data from the distribution. It is a core topic in mathematical statistics, and indeed is a fundamental part of the language of statistics. In this chapter, we study the basics of hypothesis testing, and explore hypothesis tests in some of the most important parametric models: the normal model and the Bernoulli model.

Topics

  1. Introduction
  2. Tests in the Normal Model
  3. Tests in the Bernoulli Model
  4. Tests in the Two-Sample Normal Model
  5. Likelihood Ratio Tests
  6. Chi-Square Tests

Applets

External Resources

Hypothesis testing is a basic topic in statistics, and is discussed in most texts. The books in the list below are good general references.

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