A non-parametric method to compare two populations, when the samples are independent but the assumptions behind the independent samples t-test are violated, is the: $\begin{array}{|l|l|}
\hline A&\text { Wilcoxon rank sum test.}\
\hline B&\text {sign test. }\
\hline C&\text {matched pairs $ t $-test. }\
\hline D&\text {Wilcoxon signed rank sum test. }\
\hline
\end{array}$

Question

A non-parametric method to compare two populations, when the samples are independent but the assumptions behind the independent samples t-test are violated, is the: $\begin{array}{|l|l|}
\hline A&\text { Wilcoxon rank sum test.}\
\hline B&\text {sign test. }\
\hline C&\text {matched pairs $ t $-test. }\
\hline D&\text {Wilcoxon signed rank sum test. }\
\hline 
\end{array}$

Quizplus · Accepted Answer

The Answer of A non-parametric method to compare two populations, when the samples are independent but the assumptions behind the independent samples t-test are violated, is the: $\begin{array}{|l|l|}
\hline A&\text { Wilcoxon rank sum test.}\
\hline B&\text {sign test. }\
\hline C&\text {matched pairs $ t $-test. }\
\hline D&\text {Wilcoxon signed rank sum test. }\
\hline 
\end{array}$

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