Brad J. Bushman, a psychologist at Ohio State University, studied the impact of watching violence on memory. For example, he found that watching violent television programs impairs a person’s ability to remember the details of commercials. You decide to explore this issue by having three different groups try recalling details from a commercial played while watching videos. The first group watched violent videos, the second group watched sexual videos, and the third group watched nonviolent, nonsexual videos. 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 Violent videos 94.1 9,467.2900 Sexual videos 108.7 7,903.2100 Nonviolent, nonsexual videos 111.4 8,667.6100 After collecting the data, you analyze the data using an ANOVA. The results of your analysis are presented in the following ANOVA table. ANOVA Table Source of Variation SS df MS F Between Treatments 8,662.34 2 4,331.17 24.45 Within Treatments 26,038.11 147 177.13 Total 34,700.45 149 These findings are significant at α = 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 . What is the formula for this measure of the effect size? SSbetween /SStotal SSbetween /SSwithin MSbetween /MStotal MSbetween /MSwithin Based on the data given, the effect size is . (Round your answer to two decimal places) The percentage of variability in the scores accounted for by the effect due to treatments is .

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Brad J. Bushman, a psychologist at Ohio State University, studied the impact of watching violence on memory. For example, he found that watching violent television programs impairs a person’s ability to remember the details of commercials. You decide to explore this issue by having three different groups try recalling details from a commercial played while watching videos. The first group watched violent videos, the second group watched sexual videos, and the third group watched nonviolent, nonsexual videos. 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 Violent videos 94.1 9,467.2900 Sexual videos 108.7 7,903.2100 Nonviolent, nonsexual videos 111.4 8,667.6100 After collecting the data, you analyze the data using an ANOVA. The results of your analysis are presented in the following ANOVA table. ANOVA Table Source of Variation SS df MS F Between Treatments 8,662.34 2 4,331.17 24.45 Within Treatments 26,038.11 147 177.13 Total 34,700.45 149 These findings are significant at α = 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 . What is the formula for this measure of the effect size? SSbetween /SStotal SSbetween /SSwithin MSbetween /MStotal MSbetween /MSwithin Based on the data given, the effect size is . (Round your answer to two decimal places) The percentage of variability in the scores accounted for by the effect due to treatments is .

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