problemset5

# Use an analysis of variance with 05 to determine

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Unformatted text preview: 2, M3 = 3. Treatment I 0 0 2 1 2 M = 1 SS = 4 a. b. Data Set #2 Treatment II 2 4 0 1 3 M = 2 SS = 10 Treatment III 2 3 1 4 5 M = 3 SS = 10 N = 15 G = 30 2 ΣX = 94 Before you begin any calculations, predict how the changes in the data should influence the outcome of the analysis. That is, how will the F- ratio for Data Set #2 compare with the F- ratio from Data Set #1? Use an analysis of variance with α = .05 to determine whether there are any significant differences among the three treatments in Data Set #2. (Does your answer agree with your prediction in part a?) 2. Consider the following data: Treatment I 2 6 2 6 M = 4 SS = 16 Data Set #3 Treatment II 3 7 6 4 M = 5 SS = 10 Treatment III 7 5 4 8 M = 6 SS = 10 N = 12 G = 60 2 ΣX = 344 In Data Set #3, the three sample means are close together and there are no significant mean differences. Feel free to conduct the ANOVA with Data Set #3 above if you want extra practice, but you don’t have to; this data will be used for the sake of comparison with the calculations you will do on Data Set #4. Here are the results of the ANOVA from Data Set #3: Source SS df MS Between treatments 8...
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## This document was uploaded on 03/10/2014.

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