When we take the data in Exercise 16.5 and delete the last two low-SES males, the last three average-SES males, and the last two high-SES females, we obtain the following sums of squaresCompute the...

When we take the data in Exercise 16.5 and delete the last two low-SES males, the last three average-SES males, and the last two high-SES females, we obtain the following sums of squaresCompute the analysis of variance using these sums of squares.

 Using only the SES predictors for the data in Exercise 16.7, we find . Why is this not the same as in Exercise 16.7?