A non-parametric method to compare two populations, when the samples consist of matched pairs of observations and the data are either ordinal or interval, and where the normality requirement necessary to perform the parametric test is not satisfied, is the: $\begin{array}{|l|l|}
\hline A&\text {Wil coxon rank sum test }\
\hline B&\text { Chi-squared test.}\
\hline C&\text { Wil coxon signed rank sum test.}\
\hline D&\text {Kruskal-Wallis test. }\
\hline
\end{array}$

Question

A non-parametric method to compare two populations, when the samples consist of matched pairs of observations and the data are either ordinal or interval, and where the normality requirement necessary to perform the parametric test is not satisfied, is the: $\begin{array}{|l|l|}
\hline A&\text {Wil coxon rank sum test }\
\hline B&\text { Chi-squared test.}\
\hline C&\text { Wil coxon signed rank sum test.}\
\hline D&\text {Kruskal-Wallis test. }\
\hline 
\end{array}$

Quizplus · Accepted Answer

The Answer of A non-parametric method to compare two populations, when the samples consist of matched pairs of observations and the data are either ordinal or interval, and where the normality requirement necessary to perform the parametric test is not satisfied, is the: $\begin{array}{|l|l|}
\hline A&\text {Wil coxon rank sum test }\
\hline B&\text { Chi-squared test.}\
\hline C&\text { Wil coxon signed rank sum test.}\
\hline D&\text {Kruskal-Wallis test. }\
\hline 
\end{array}$

A Non-Parametric Method to Compare Two Populations, When the Samples