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# Compare the outcome with the results from data set 3

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Unformatted text preview: 2 4 Within treatments 36 9 4 F (2, 9) = 1.0 2 Total 44 11 η = 8/44 = .18 = 18% To construct the following data (Data Set #4, below), we started with the scores in Data Set #3 and then increased the size of the mean differences. Specifically, we lowered the smallest mean by subtracting 2 points from each score in treatment I, and we increased the largest mean by adding 2 points to each score in treatment III. As a result, the three sample means in Data Set #4 are now much more spread out. Treatment I 0 4 0 4 M = 2 SS = 16 a. b. Data Set #4 Treatment II 3 7 6 4 M = 5 SS = 10 Treatment III 9 7 6 10 M = 8 SS = 10 N = 12 G = 60 2 ΣX = 408 Use an ANOVA with α = .05 to determine whether there are any significant differences among the three treatments in Data Set #4. Compare the outcome with the results from Data Set #3. 2 Compute η for Data Set #4. Compare the outcome with the result from Data Set #3. 3. 4. The results from an independent- measures research study indicate that there are significant differences between treatments, F(3, 36) = 3.28, p < .05. a. How many treatment conditions were compared in the study? b. How many individuals participated in the entire study? The following summary table presents th...
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## This document was uploaded on 03/10/2014.

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