Asked by Jenna Garland on Jul 28, 2024

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The nonparametric counterpart of the parametric t-test of The nonparametric counterpart of the parametric t-test of   for matched pairs is the: A)  Friedman test B)  Kruskal-Wallis test C)  Wilcoxon signed rank test D)  Wilcoxon rank sum test E)  chi-square test for matched pairs is the:

A) Friedman test
B) Kruskal-Wallis test
C) Wilcoxon signed rank test
D) Wilcoxon rank sum test
E) chi-square test

Matched Pairs

A study design in which subjects are paired based on certain characteristics, with one subject in each pair receiving each treatment.

Parametric T-Test

A statistical test used to compare the means of two samples, assuming that the underlying populations have a normal distribution and known variance.

Nonparametric Counterpart

A type of statistical method that does not assume a specific distribution for the data, often used when the data doesn't meet the assumptions of parametric tests.

  • Differentiate various nonparametric tests and understand their applications.
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ME
Madeline EllerbuschJul 31, 2024
Final Answer :
C
Explanation :
The Wilcoxon signed rank test is the nonparametric counterpart of the parametric t-test for matched pairs, as it is used to compare two related or matched groups. The Friedman and Kruskal-Wallis tests are nonparametric tests for independent groups, while the Wilcoxon rank sum test is a nonparametric test for independent groups without a matched or related design. The chi-square test is used for categorical data. Therefore, choice C is the best option.