Quality SAS homework help for paired t-test tasks
A paired t-test design was used for this study.
For CESD-R, scores are statistically significant between baseline period and endpoint (t=4.28, p=0.0002).
For CESD-R, scores are not significant between the baseline period and endpoint (t=0.75, p=0.4585).
Since it’s a paired design study, a baseline measure is needed to compute differences in CESD scores for each child.
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Random effects in this experiment are automobile and driver since those were randomly sampled from the automobiles and drivers of the company.
The additive is a fixed effect since all 4 additives were used in this study.
Mean nitrogen oxide reduction in additive A is 18.
95%CL= [13.3156, 22.6844]
The difference in the mean nitrogen oxide reductions for additives A and B is 4.
95%CL= [-12.3820, 4.3820]
If we were only to focus only on drivers and automobiles, which are random effects, the model would be statically significant (F=324.32, p<.0001).
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For the cognitive therapy group (where TX=1), race isn’t dependent on gender (F=1.60, p=0.2099)
For the behavioral activation group (where TX=2), the race is dependent on gender (F=6.67, p=0.0117)
For the Paxil group (where TX=3), the race is dependent on gender (F=11.14, p=0.0013)
Since graphs cross, there’s a high probability of experiencing an interaction of race by gender by treatment.
As suggested by the plot, the results in the table below show an interaction of race by gender (F= 6.77, p=0.0098), and the interaction of race by gender by treatment (F=10.04, p=0.0017).
Since the mean of QOLI – GRO is higher in group 2 than in group 1, and since that difference is statistically significant (p=0.02), therefore treatment 1 (group counseling) is more effective than treatment 2 (individual counseling).
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