Chapter 12: One-way ANOVA

Overview

Two-sample [latex]t[/latex] tests are used to compare two population means based on two independent samples.  When comparing [latex]k > 2[/latex] population means based on [latex]k[/latex] independent samples, one-way ANOVA can be used. ANOVA stands for ANalysis Of VAriance. This chapter introduces the main idea behind the one-way ANOVA F tests and how to conduct a one-way ANOVA F test based on computer output.

Learning Objectives

As a result of completing this chapter, you will be able to do the following:

  • State what ANOVA stands for.
  • Identify when one-way ANOVA should be used.
  • Explain the main idea behind a one-way ANOVA F test.
  • Write down the hypotheses for a one-way ANOVA F test.
  • Conduct a one-way ANOVA F test based on computer output.

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Introduction to Applied Statistics Copyright © 2024 by Wanhua Su is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, except where otherwise noted.