Basic hypothesis testing

Learning goals:

• assumption testing (normality and homogeneity)
• parametric test vs. non-parametric test vs. resampling
• compare means: one-sample t test vs its non-parametric equivalents (sign test and wilcoxon sign rank test)
• compare means: paired t test vs its non-parametric equivalents (Sign test and Wilcoxon sign rank test)
• compare means: unpaired t test vs its non-parametric equivalent (Wilcoxon rank sum test) vs. randomization
• compare multiple means: anova vs. Kruskal-Wallis test
• compare proportions between two groups
• calcualte 95% CI for the sample mean using bootstrapping
• power analysis
• Analysis of Variance
• Multiple hypotheses testing
• basic R functions to conduct hypothesis testing