One of the advantages of a repeated-measures design is that it removes individual differences from the error variance and increases the likelihood of rejecting the null hypothesis. The following data were obtained from a research study comparing three treatment conditions.

I II III 6 8 10 G = 48 5 5 5 ΣX2 = 294 1 2 3 0 1 2 T 5 12 T 5 16 T 5 20 SS 5 26 SS 5 30 SS 5 38

a. Assume that the data are from an independentmeasures study using three separate samples, each with n 5 4 participants, and use an independentmeasures ANOVA with a 5 .05 to test for significant differences among the three treatments.

b. Now assume that the data are from a repeated-measures study using one sample of n 5 4 participants and use a repeated-measures ANOVA with a 5 .05 to test for significant differences among the three treatments.