Chi-square test of independence to check if there’s an association between two categorical variables
Correlation Test to assess a possible association between two numeric variables, X and Y: Kendall’s coefficient
Correlation Test to assess a possible association between two numeric variables, X and Y: Spearman’s coefficient
Correlation Test to assess a possible association between two numeric variables, X and Y: Pearson’s coefficient
Post-hoc multiple comparisons using Tukey test and Dunn's test in R
The Kruskal-Wallis test is a rank-based non-parametric alternative to the one-way ANOVA and an extension of the Wilcoxon-Mann-Whitney test to allow the comparison of more than two independent groups.
One-way analysis of variance is a statistical test used when we want to compare several means.
Wilcoxon Signed-Rank test (Wilcoxon test): a non-parametric test that can be conducted to compare paired samples when the differences are not normally distributed
A paired t-test is used to estimate whether the means of two related measurements are significantly different from one another
Wilcoxon-Mann-Whitney (WMW) test to compare two independent samples
Two sample t-test (Student’s t-test)
Test the equality of two groups medians and plots violin plot using ggstatsplot library with data points jittered