a.) for a small effect size, 0.20 tra G.Power 1.1.9.7 X b.) for a medium effect size, 0.50 File Edit View Tests Calculator Help Central and noncentral distributions Protocol of power analyses critical t = 1.64732 In G'Power 3.1.9.7 File Edit View Tests Calculator Help Central and moncentral distributions Protocol of power analyses 0.3. critical t - 1-66023 0.2 0.5- 01 0.Z -2 0.1 Test family Statistical Test ttests Means: Difference between two independent means (two groups) Type of power analysis Test family Statistical test A priorit Compute required sample size - given a, power, and effect size t test Means Difference between two independent means (two groups) Input Parameters Type of power analysis Output Parameters Taills) One Noncentrality parameter 5 2.4899799 A priori: Compute required sample size - given a, power, and effect size Determine -> Expect size d 0.2 Critical .6473230 Input Parameters Output Parameters & err prob 0.05 D 618 Tallis) One Noncentrality parameter & 2.5248762 0.80 Determine => Effect size d 0.5 Critical t 1.6802343 Power (1-B err prob) Sample size group I 310 & err prob 0.05 100 Allocation ratio N2/N1 sample size group 2 $10 Fawer [I-B err prob) 0.80 51 Total sample size Sample size group 1 Allocation rabo N2/NI Sample size group 2 Actual power 0 8002178 Total sample size 107 Actual power 0.8058965 The sample size is 620 and the critical t is 1.64732 The sample size is 102 and critical t is 1.66023 c.) for a large effect size, 0.80 In G*Power 3.1.9.7 X File Edit View Tests Calculator Help Central and noncentral distributions Protocol of power analyses Question: critical t = 1.68385 2.) Which of the 0.3 - 0.2 - obtained values would you recommend? Explain why. Test family Statistical test t tests Means: Difference between two independent means (two groups) Type of power analysis A priori: Compute required sample size - given a, power, and effect size Input Parameters Output Parameters Tail(s) One Noncentrality parameter & 2.5922963 Determine => Errect size d 0.8 Critical t .6838510