In ANOVA, the F-test is the ratio of two sample variances. In the one-way ANOVA (completely randomised design), the variance used as the denominator of the ratio is the: $\begin{array}{|l|l|}
\hline A.&\text { mean square for treatments.}\
\hline B.&\text {mean square for error. }\
\hline C.&\text {mean square for blocks. }\
\hline D.&\text {total sum of squares. }\
\hline
\end{array}$

Question

In ANOVA, the F-test is the ratio of two sample variances. In the one-way ANOVA (completely randomised design), the variance used as the denominator of the ratio is the: $\begin{array}{|l|l|}
\hline  A.&\text { mean square for treatments.}\
\hline  B.&\text {mean square for error. }\
\hline  C.&\text {mean square for blocks. }\
\hline  D.&\text {total sum of squares. }\
\hline 
\end{array}$

Quizplus · Accepted Answer

The Answer of In ANOVA, the F-test is the ratio of two sample variances. In the one-way ANOVA (completely randomised design), the variance used as the denominator of the ratio is the: $\begin{array}{|l|l|}
\hline  A.&\text { mean square for treatments.}\
\hline  B.&\text {mean square for error. }\
\hline  C.&\text {mean square for blocks. }\
\hline  D.&\text {total sum of squares. }\
\hline 
\end{array}$

In ANOVA, the F-Test Is the Ratio of Two Sample