$$\begin{array} { l c c }
\text { Source } & \text { d.f. } & \text { Sum of Squares } \
\text { Model } & 3 & 213.88125 \
\text { Error } & 20 & 11.208333 \
\text { Total } & 23 & 225.0895
\end{array}$$
-Suppose that you analyze data from a completely randomized experimental design using a one-way ANOVA.You find out later that the data was actually from a randomized block experimental design and use the ANOVA procedure to reanalyze the data.The SSE from your first analysis will be ______ the SSE from your second analysis.
A)equal to
B)less than
C)greater than
D)Cannot be determined.

Question

$$\begin{array} { l c c } 
\text { Source } & \text { d.f. } & \text { Sum of Squares } \
\text { Model } & 3 & 213.88125 \
\text { Error } & 20 & 11.208333 \
\text { Total } & 23 & 225.0895
\end{array}$$
-Suppose that you analyze data from a completely randomized experimental design using a one-way ANOVA.You find out later that the data was actually from a randomized block experimental design and use the ANOVA procedure to reanalyze the data.The SSE from your first analysis will be ______ the SSE from your second analysis.
A)equal to
B)less than
C)greater than
D)Cannot be determined.

Quizplus · Accepted Answer

In a randomized block design, variability due to blocks is accounted for, which typically reduces the error sum of squares (SSE) compared to a completely randomized design where such variability is included in the error term.

-Suppose That You Analyze Data from a Completely Randomized Experimental