Which of the following best describes when a non-parametric test for comparing two or more populations should be used instead of its parametric counterpart? $\begin{array}{|l|l|}
\hline A&\text {When the sample sizes are large. }\
\hline B&\text {When the populations are normally distributed.}\
\hline C&\text { When the data are ordinal (ranked) or numerical and non-normal.}\
\hline D&\text {When the data are numerical. }\
\hline
\end{array}$

Question

Which of the following best describes when a non-parametric test for comparing two or more populations should be used instead of its parametric counterpart? $\begin{array}{|l|l|}
\hline A&\text {When the sample sizes are large. }\
\hline B&\text {When the populations are normally distributed.}\
\hline C&\text { When the data are ordinal (ranked) or numerical and non-normal.}\
\hline D&\text {When the data are numerical. }\
\hline 
\end{array}$

Quizplus · Accepted Answer

The Answer of Which of the following best describes when a non-parametric test for comparing two or more populations should be used instead of its parametric counterpart? $\begin{array}{|l|l|}
\hline A&\text {When the sample sizes are large. }\
\hline B&\text {When the populations are normally distributed.}\
\hline C&\text { When the data are ordinal (ranked) or numerical and non-normal.}\
\hline D&\text {When the data are numerical. }\
\hline 
\end{array}$

Which of the Following Best Describes When a Non-Parametric Test