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Which of the Following Is the Non-Parametric Equivalent to the Parametric

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Which of the following is the non-parametric equivalent to the parametric t-test of μD\mu _ { D } for matched pairs?  A.  Wil coxon rank sum test B. Kruskal-Wallis test  C.  Sign test D. Wilcoxon signed rank sum test \begin{array}{|l|l|}\hline \text { A. } & \text { Wil coxon rank sum test} \\\hline \text { B. } & \text {Kruskal-Wallis test } \\\hline \text { C. } & \text { Sign test} \\\hline \text { D. } & \text {Wilcoxon signed rank sum test } \\\hline\end{array}


Definitions:

Standard Deviation

A metric that calculates the extent of variation or spread in a data set.

Standard Deviation

An indicator of the diversity or spread in a dataset, indicating how much individual data points deviate from the mean value.

Standard Deviation

An index quantifying how much data values spread out or differ from each other.

Standard Deviation

An indicator of the degree of spread or variability within a dataset, showing how significantly the values deviate from the average.

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