Conduct an a-priori analysis using a large effect size, an alpha of .05, and a power of .95. What is the total number of participants needed in your sample?How many participants do you need in each group?Why is it important to have an equal number of participants in each group?

Test family Statistical test F tests MANOVA: Global effects Type of power analysis A priori: Compute required sample size - given o, power, and effect size Input Parameters Output Parameters Determine => Effect size f=(V) 0.13 Noncentrality parameter A 21.8400000 & err prob 0.05 Critical F 2.1556612 Power (1-B err prob) 0.95 Numerator df 6.0000000 Number of groups Denominator df 160 Response variables Total sample size 84 Actual power 0.9514761 Pillai V 0.2300885