F(2, 47) = 0.290, p = 0.750, 2 = 0.012 F(df between, df within) = F statistic, p = p-value, 2 = effect size. Statistic: F(2, 47) = .290 Significance: p = .750 Effect size: 2 = 25.031/2055.150 = 0.012 [0.01217964625] F(2, 47) = 0.290, p = 0.750, 2 = 0.012 F. What is the decision about the null hypothesis (reject or fail to reject) based on the test result? We reject the null hypothesis because the p-value = .750 is greater than a= 0.05 We conclude that there is not a significant difference in the change of executive function across different education levels, as indicated by the high p-value and the small effect size