The following results are from an independent-measures, two-factor study with n condition. = 5 participants in each treatment Factor A: Factor B: B1 B2 B3 n = 5 n = 5 n = 5 A1 M = 5 M = 8 M = 14 T = 25 T = 40 T = 70 SS = 30 SS = 38 SS = 46 n = 5 n = 5 n = 5 A2 M = 3 M = 4 M = 8 T = 15 T = 20 T = 40 SS 22 SS = 26 SS = 30 ΣΧ2 = 2,062 Use a two-factor ANOVA with a = .05 to evaluate the main effects and interaction. Source SS Between treatments A B AxB Within treatments Total df MS F Use the Distributions tool to find the critical F values. (Use three decimal places.) F-criticalA F-criticalB F-criticalAxB Is there a significant main effect for factor A? Is there a significant main effect for factor B? Is there a significant interaction? Test the simple main effects using a = .05 to evaluate the mean difference between treatment A1 and A2 for each level of factor B. Level F Significant Effect? B1 B2 B3