Fisher's exact test or the chi-square test. Kruskal-Wallis or Friedman nonparametric one-way ANOVA with Dunn's post test. When this is chosen, multiple comparison tests also do not assume sphericity. Greenhouse-Geisser correction so repeated measures one-, two-, and three-way ANOVA do not have to assume sphericity. Many multiple comparisons test are accompanied by confidence intervals and multiplicity adjusted P values. One-way ANOVA without assuming populations with equal standard deviations using Brown-Forsythe and Welch ANOVA, followed by appropriate comparisons tests (Games-Howell, Tamhane T2, Dunnett T3). Ordinary or repeated measures ANOVA followed by the Tukey, Newman-Keuls, Dunnett, Bonferroni or Holm-Sidak multiple comparison tests, the post-test for trend, or Fisher's Least Significant tests. 
Perform many t tests at once, using False Discovery Rate (or Bonferroni multiple comparisons) to choose which comparisons are discoveries to study further. Wilcoxon test with confidence interval of median. 
Kolmogorov-Smirnov test to compare two groups.Nonparametric Mann-Whitney test, including confidence interval of difference of medians.Automatically generate volcano plot (difference vs.Reports P values and confidence intervals.
0 kommentar(er)
