The data below are from an independent-measures experiment comparing three different treatment conditions. Treatment 1 Treatment 2 Treatment 3 0 1 4 0 4 3 0 1 6 2 0 3 G = 24 ?X squared = 92 T = 2 T = 6 T = 16 SS = 3 SS = 9 SS = 6 a. Use an ANOVA with ? = .05 to determine whether these data indicate any significant differences among treatments. b. Use the Tukey's HSD to determine which of the treatments are significantly different from each other at the .05 level.
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However, in this case, we are given the sum of squares within treatments (SS within or SSW) directly for each treatment and the sum of the squared scores (EX^2). We can use the formula SST = SSW + SSB, where SSB is the sum of squares between groups. But first, we Show moreā¦
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The data below are from an independent-measures experiment comparing three different treatment conditions. Use an ANOVA with Ī± = .05 to determine whether these data indicate any significant differences among the treatments. Treatment 1 Treatment 2 Treatment 3 0 1 4 N = 12 0 4 3 G = 24 0 1 6 Ī£X^2 = 92 2 0 3 M = 0.5 T = 2 M = 1.5 T = 6 M = 4 T = 16 SS = 3 SS = 9 SS = 6
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