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.
