In a two-factor ANOVA, the total sum of squares can be partitioned into four parts; the variation due to factor A, the variation due to factor B, the variation due to blocking, and the error variation.

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In a two-factor ANOVA, the total sum of squares is partitioned into three parts: the variation due to factor A, the variation due to factor B, the interaction between factors A and B, and the error variation. There is no separate partition for "blocking" in the standard two-factor ANOVA model.

In a Two-Factor ANOVA, the Total Sum of Squares Can