Question

Match these non-parametric statistical tests with their parametric counterpart by putting the corresponding letter on the line.
_____ Friedman test
_____ Kruskal-Wallis H test
_____ Mann-Whitney U test
_____ Wilcoxon Signed-Ranks T test
A. Paired-sample t-test.
B. Independent-sample t-test.
C. One-way ANOVA, independent samples.
D. One-way ANOVA, repeated measures.

Answer 1

Answer:

• A. Paired-sample t-test.   ---   Wilcoxon Signed-Ranks T test
• B. Independent-sample t-test.   ---  Mann-Whitney U test
• C. One-way ANOVA, independent samples.   ---   Kruskal-Wallis H test
• D. One-way ANOVA, repeated measures.  ---   Friedman test

Step-by-step explanation:

• The nonparametric statistics is a branch of statistics, that seeks out the population distribution that is either being distributed freely or specifically.  

• Wilcoxon Signed-Ranks T-test is a hypothesis test used to compare the two or pre related columns that can be matched and maybe a repeated measure on a single sample.

• The Mann-Whitney U test is a null hypothesis and states the probability of a random sample of X and Y from the population is greater than the X and that Y is greater than X.

• Kruskal-Wallis H test is a test of one variance analysis and tests that sample originates from the same distribution.

• The  Friedman test is used to find treatment across multiple tested attempts. It involves the ranking of the rows and then considering the values of the column.