Basics
This is what ANOVA stands for.
What is Analysis of Variance?
In ANOVA variability is split into within-group and this type of variance.
What is between-group variance?
This type of ANOVA tests one IV with 3 or more levels.
What is a one-way ANOVA?
ANOVA compares these across groups.
What are means?
ANOVA compares between-group variance to this denominator variance.
What is within-group variance?
This type tests two IVs.
What is a two-way ANOVA?
The null hypothesis predicts that these values are equal across all groups.
What are population means?
This assumption requires each group to have similar variance.
What is homogeneity of variance?
Two-way ANOVA can test this type of effect, which tests for significant differences between the mean levels of one IV collapsing across levels of the other IV.
What are main effects?
This statistic is the one used to test ANOVA results.
What is the F-value?
For ANOVA data should be approximately this in distribution.
What is normally distributed?
A one-way ANOVA may be followed by these tests when significant.
What are post-hoc tests?