# 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 **AN**alysis **O**f **VA**riance. 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.