In the randomised block design ANOVA, the sum of squares for error equals: $\begin{array}{|l|l|}
\hline\text { A. } & \text { SS(Total) - SST. } \
\hline \text { B. } & \text { SS(Total) - SSB } \
\hline \text { C. } & \text { SS(Total) - SST - SSB. } \
\hline \text { D. } & \text { SS(Total) - SS(A) - SS(B) - SS(AB) } \
\hline
\end{array}$

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The Answer of In the randomised block design ANOVA, the sum of squares for error equals: $\begin{array}{|l|l|}
\hline\text { A. } & \text { SS(Total) - SST. } \
\hline \text { B. } & \text { SS(Total) - SSB } \
\hline \text { C. } & \text { SS(Total) - SST - SSB. } \
\hline \text { D. } & \text { SS(Total) - SS(A) - SS(B) - SS(AB) } \
\hline
\end{array}$

In the Randomised Block Design ANOVA, the Sum of Squares