Explain what eta-squared (2) is and what the number/outcome of eta-squared means.

What is the difference between an independent-measures ANOVA (what we covered in this chapter) and a repeated-measures ANOVA?

You want to find out whether year in school affects students' time spent studying. To do so, you split your sample of n=100 students into 4 different groups: Freshman, Sophomores, Juniors, and Seniors and measure how long the students study each week. What are the null and alternative hypotheses for this example?

What does rejecting the null hypothesis for an ANOVA tell us?

Below is an ANOVA summary table. Based on these data, would you follow this ANOVA up with post hoc tests?

\f