In the randomized block design ANOVA,the sum of squares for error equals:
A)SS(Total)− SST
B)SS(Total)− SSB
C)SS(Total)− SST − SSB
D)None of these choices.

Question

Quizplus · Accepted Answer

In a randomized block design ANOVA, the total variation is decomposed into two sources - treatment and blocks (or subjects). Therefore, the sum of squares for total (SST) can be partitioned into two parts: the sum of squares between subjects (SSB), and the sum of squares within subjects (SSW or SSE). Hence, the sum of squares for error would be the total variation minus the variation between subjects and the variation within subjects. Thus, the correct answer is C- SS(Total)− SST − SSB.

In the Randomized Block Design ANOVA,the Sum of Squares for Error