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(Problem Set Ch10 Q9) please answer all questions. There will need to be 4 answers total in this one question. CENGAGE |MINDTAP Problem Set: Chapter

(Problem Set Ch10 Q9) please answer all questions. There will need to be 4 answers total in this one question.

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CENGAGE |MINDTAP Problem Set: Chapter 10 The t Test for Two Independent Samples Back to Assignment Attempts Keep the Highest / 2 9. Effect size for independent-measures t test - Cohen's d and r squared Tobacco companies have actively attempted to remake their public image by launching a youth smoking prevention advertisement campaign. Melanie Wakefield (a professor of applied psychology and researcher at the Center for Behavioral Research in Cancer in Victoria, Australia) and her colleagues conducted a study to assess the relation between exposure to tobacco companies" youth smoking prevention advertising and youth smoking-related beliefs, intentions, and behaviors. You use Professor Wakefield's research to design an experiment with two groups of high school students from Morocco. You show the tobacco company's youth smoking prevention ads to one of the groups of students every day for a week at the beginning of their math class. After the week, you assess the groups on the degree to which the students feel that the harmful effects of smoking have been exaggerated, using a 5-point Likert scale. You do not have a prediction about the effect of the ads, as they are supposed to prevent smoking, but Professor Wakefield's findings suggested the ads might have the opposite effect if they have any effect at all. There are 225 students in each group. .The first group, who saw the ads, scored an average of 3.1 with a sample standard deviation of 1.5 on the 5- point Likert scale. The second group, who did not see the ads, scored an average of 2:8 with a sample standard deviation of 1.6 on the 5-point Likert scale. You find that the estimated standard error of the difference in means is 0.1462, the estimated Cohen's d is_ the t statistic is 2.05, and the ra is Using Cohen's d and Cohen's criteria for evaluating Cohen's d, this is a_ effect size. Using r2 and Cohen's criteria for evaluating r2, this is effect size. Hint: There is some subjectivity when applying verbal labels to numerical values. If the Cohen's d or r= value falls between two categories, acknowledge both categories-for example, small to medium if it is between small and medium

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