A non-parametric method to compare two or more populations, when the samples are independent and the data are either ordinal or interval but not normal, is the: $\begin{array}{|l|l|}
\hline A&\text {Kruskal-Wallis test. }\
\hline B&\text {Friedman test. }\
\hline C&\text {Wilcoxon rank sum test. }\
\hline D&\text {Wil coxon signed rank sum test. }\
\hline
\end{array}$

Question

A non-parametric method to compare two or more populations, when the samples are independent and the data are either ordinal or interval but not normal, is the: $\begin{array}{|l|l|}
\hline A&\text {Kruskal-Wallis test. }\
\hline B&\text {Friedman test. }\
\hline C&\text {Wilcoxon rank sum test. }\
\hline D&\text {Wil coxon signed rank sum test. }\
\hline 
\end{array}$

Quizplus · Accepted Answer

The Answer of A non-parametric method to compare two or more populations, when the samples are independent and the data are either ordinal or interval but not normal, is the: $\begin{array}{|l|l|}
\hline A&\text {Kruskal-Wallis test. }\
\hline B&\text {Friedman test. }\
\hline C&\text {Wilcoxon rank sum test. }\
\hline D&\text {Wil coxon signed rank sum test. }\
\hline 
\end{array}$

A Non-Parametric Method to Compare Two or More Populations, When