Answer both questions I need both of them plz 3. In a larger-scale replication study, 60 subjects were randomly assigned to one of 3 treatment conditions (0 ml., 5 ml., or 10 ml. of melatonin). After treatment, the total sum of squares was found to be 6504.75. In addition, 32% of the variance between the groups' measured depression could be accounted for by the different dosages of melatonin they had been administered. Does this study show significant differences between the groups' mean depression scores (α ≤ .025) 4. Forty eight subjects were randomly assigned to one of 4 treatment conditions in a study of different methods of coping with statistics exam anxiety. After the experiment, 12 subjects remained in group 1, 8 in group 2, 10 in group 3, and 10 in group 4. The mean anxiety score of group 1 was found to be 5.5 points higher than the mean of group 2, 3.5 points higher than the mean of group 3, 5.3 points higher than the mean of group 4, and 3.3 points higher than the grand mean. Interestingly, the sum of squares error was exactly 12.0 times larger than its degrees of freedom. Did the different treatments result in significantly different amounts of anxiety? (α ≤ .01) Answers: 3. F = 13.41, Reject H0: there are significant differences between the groups' mean levels of depression 4. F = 5.83, Reject H0: the different treatments result in significantly different levels of anxiety

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Answer both questions I need both of them plz 3. In a larger-scale replication study, 60 subjects were randomly assigned to one of 3 treatment conditions (0 ml., 5 ml., or 10 ml. of melatonin). After treatment, the total sum of squares was found to be 6504.75. In addition, 32% of the variance between the groups' measured depression could be accounted for by the different dosages of melatonin they had been administered. Does this study show significant differences between the groups' mean depression scores (α ≤ .025) 4. Forty eight subjects were randomly assigned to one of 4 treatment conditions in a study of different methods of coping with statistics exam anxiety. After the experiment, 12 subjects remained in group 1, 8 in group 2, 10 in group 3, and 10 in group 4. The mean anxiety score of group 1 was found to be 5.5 points higher than the mean of group 2, 3.5 points higher than the mean of group 3, 5.3 points higher than the mean of group 4, and 3.3 points higher than the grand mean. Interestingly, the sum of squares error was exactly 12.0 times larger than its degrees of freedom. Did the different treatments result in significantly different amounts of anxiety? (α ≤ .01) Answers: 3. F = 13.41, Reject H0: there are significant differences between the groups' mean levels of depression 4. F = 5.83, Reject H0: the different treatments result in significantly different levels of anxiety
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