Following the ANOVA, you suggest that they conduct Bonferonni-corrected independent-samples t-tests to see which teams differed from each other (if any). UofL and Kentucky's average seeds are too close to each other to bother testing, but you encourage them to test the other 5 possible t-tests, reminding them to adjust = .05 accordingly. Means and Sdiff values are listed in the table below. Write down the critical value for t at your new alpha level (it's not .05; remember that the degrees of freedom relate to the number of scores, not groups) from the t-table (p. 675 of our textbook). Once you have each t-statistic, indicate whether those means are actually different from each other. Note that it is possible to have a significant ANOVA but no significant post hoc t-tests. Mean Seed Number Sdifference UofL = 3.9 UofL & Duke: 0.902 Kentucky = 3.4 UofL & Indiana: 1.279 Duke = 2.6 Kentucky & Duke: 0.849 Indiana = 6.4 Kentucky & Indiana: 1.242 Duke & Indiana: 1.089