D For the next three items (Questions 35, 36, and 37): Assume the following ANOVA summary table was obtained from a study that compared three different treatment conditions, The sample means and sample sizes for each condition are also given. Source 55 of MS F Between 26 N 13 6.50 Within 18 9 2 Total 44 11 M1 = 4.0 M2 = 1.5 M, = 0.50 less n1 = 4 ni =4 na = 4 Hours: PM If you are unable to see the data above, view this file & . 5:15 D Question 35 1 pts Using Tukey's HSD post-hoc procedure with a - .05, what is the minimum difference required (HSD) between two group means in order to conclude that those two groups means are indeed significantly different? HSD - Hint: You will need q, which is found in Table B.5, to compute the HSD values 0 #2.20 0 12.79 0 4320 0 13.95Use Tukey's HSD post-hoc procedure (the HSD value was computed in the previous problem) to determine which of the three treatment group means are significantly different from each other. Use a =.05. 1 differs from 2 O 1 differs from 3 O 2 differs from 3 O All three means are significantly different from each other. D Question 37 1 pts What percentage of variance (to the nearest %) in the dependent variable can be explained by the effect of the independent variable? Hint: Think about which measure of effect size reflects the percentage of variance accounted for by the treatment effect in the context of ANOVA. Extra hint because hey, why not?: It's on your formula sheet! It kind of looks like an n. butjit's really not an n. It's Greek! 15% 0 41% O 59%