Based on the overall variability in the products and the variability within each store, you find the following values for the Sums of Squares: SST = 683.22, SSW = 441.19. Based on the data in our 3 gr...Based on the overall variability in the products and the variability within each store, you find the following values for the Sums of Squares: SST = 683.22, SSW = 441.19. Based on the data in our 3 groups, we can say that there is a statistically significant difference in the quality of different types of candy, \(F(2,87) = 24.52, p < .05\).
Based on the overall variability in the products and the variability within each store, you find the following values for the Sums of Squares: SST = 683.22, SSW = 441.19. They provide you with data th...Based on the overall variability in the products and the variability within each store, you find the following values for the Sums of Squares: SST = 683.22, SSW = 441.19. They provide you with data they have for English majors (\(\overline{\mathrm{X}}\) = 3.78, \(n\) = 45), History majors (\(\overline{\mathrm{X}}\)= 2.23, \(n\) = 40), Psychology majors (\(\overline{\mathrm{X}}\)= 4.41, \(n\) = 51), and Math majors (\(\overline{\mathrm{X}}\) = 1.15, \(n\) = 28).
