Conduct an analysis of variance (ANOVA) to check for mean differences between three independent groups on any variable of your choice (i.e., Is there a difference in coffee consumption per week between those under age 18, those between 18-25, and those above age 25?).
Each sample should have a minimum of n = 6 participants.
What to turn in:

1. State your research question (use the example from above as a model).
2. State the null and alternative hypotheses for your ANOVA.
3. Using α = .05 for your test, indicate the critical F-value, conduct the necessary calculations (show your work whenever possible) and state your conclusions regarding the original hypotheses (Reject H0 or Fail to Reject H0).
4. Calculate and interpret η2 as a measure of effect size.
5. Using Tukey’s post-hoc test, check for specific significant differences between groups
Note: Please do this even if your conclusion above is “Fail to Reject H0”
6. Write a conclusion statement, as would appear in a published report.

Extra Credit (Up to 5 points):

1. Present your findings using an “ANOVA summary table” as discussed on p. 361 of the textbook.
Conduct an analysis of variance (ANOVA) to check for mean differences between three independent groups on any variable of your choice (i.e., Is there a difference in coffee consumption per week between those under age 18, those between 18-25, and those above age 25?).
Total:
\$8.99