The F-test of the randomised block design of the analysis of variance requires that the random variable of interest must be normally distributed and the population variances must be equal. When the random variable is not normally distributed, we can use: $\begin{array}{|l|l|}
\hline A&\text {one-way ANOVA. }\
\hline B&\text {two-way ANOVA. }\
\hline C&\text {the chi-squared test. }\
\hline D&\text { the Friedman test.}\
\hline
\end{array}$

Question

The F-test of the randomised block design of the analysis of variance requires that the random variable of interest must be normally distributed and the population variances must be equal. When the random variable is not normally distributed, we can use: $\begin{array}{|l|l|}
\hline A&\text {one-way ANOVA.  }\
\hline B&\text {two-way ANOVA. }\
\hline C&\text {the chi-squared test.  }\
\hline D&\text { the Friedman test.}\
\hline 
\end{array}$

Quizplus · Accepted Answer

The Answer of The F-test of the randomised block design of the analysis of variance requires that the random variable of interest must be normally distributed and the population variances must be equal. When the random variable is not normally distributed, we can use: $\begin{array}{|l|l|}
\hline A&\text {one-way ANOVA.  }\
\hline B&\text {two-way ANOVA. }\
\hline C&\text {the chi-squared test.  }\
\hline D&\text { the Friedman test.}\
\hline 
\end{array}$

The F-Test of the Randomised Block Design of the Analysis