OUTLINE FOR CHAPTER
11 IN THE 6^{th} EDITION
Tests on Three or More Means
Using a OneWay ANOVA
 Introduction
 The versatility and popularity of ANOVA techniques
 The focus of this chapter: oneway ANOVAs
 The Purpose of a OneWay ANOVA
 The number of inference made
 The direction and focus of the inference
 The Distinction Between OneWay ANOVAs and Other
Kinds of ANOVAs
 Synonyms for "oneway ANOVA"
 The number of independent variables (i.e., factors) and dependent
variables
 The "between" vs. "within" nature of the independent variable
 The OneWay ANOVA's Null and Alternative Hypotheses
 Two ways to express the null hypothesis
 Using symbols to express the alternative hypothesis
 Presentation of Results
 Results of a single oneway ANOVA
 A typical ANOVA summary table
 Using df values
 Textual presentation of results
 Results of two or more oneway ANOVAs
 Presenting findings within a passage of text
 The null hypotheses when the same groups are compared on different
dependent variables
 The Bonferroni adjustment technique
 Assumptions of a OneWay ANOVA
 The four main assumptions
 Checking on the normality and equal variance assumptions
 Four options when the assumptions seem untenable
 Independence and the "unit of analysis"
 Statistical Significance Versus Practical Significance
 Two options
 Do researchers typically worry about practical significance?
 Criteria when using standardized effect sizes
 Cautions
 Significant and nonsignificant results from oneway ANOVAs
 Confidence intervals
 Other things to keep in mind
 A Final Comment
 The single most important thing in any oneway ANOVA
 A oneway ANOVA that didn't need to be conducted (because its outcome was
known before the analysis began)
