Thank you!

B. Effect size and ANOVA Jackie Andrade, a psychology professor at the University of Plymouth, conducted a study regarding the impact on attention of simple activities such as doodling. She found that research participants who doodled while listening to a conversation were able to recall more details of the conversation than those who were not doing anything. You decide to explore this issue by having three different groups try recalling details from a conversation. The first group is doing a math problem, the second group is not doing anything, and the third group is doodling. The sample mean and sum of squares of the scores for each of the three groups are presented in the following table. Group Sample Mean Sum of Squares Doodling 91.6 4,570.5600 No activity 93.7 4,907.7600 Math problem 109.8 5,472.2400 After collecting the data, you analyze the data using an ANDVA. The results of your analysis are presented in the following ANOVA table. ANOVA Table Source of Variation 55 (If MS F Between Treatments 4,957.17 2 2,478.59 11.94 Within Treatments 14,950.56 72 207.65 Total 19,907.73 74 These ndings are signicant at o = 0.05, which tells you that the difference is very unlikely to have occurred just by chance, but it does not tell you the size of the effect. A simple measure of the effect size is given by V . What is the formula for this measure of the effect size? 0 SSbetween/stithin O MSW/Mswithin O MSW/MSW O SSbetwcen/Ssmml Based on the data given, the effect size is v . (Round your answer to two decimal places) The percentage of variability in the scores accounted for by the effect clue to treatments is V