Basic Inference Methods

R has an excellent collection of functions to implement the basic methods of statistical inference that are typically covered in a first course in statistics. In this chapter we review implementations of basic testing methods for one and two-samples using R. This material includes one-sample and two-sample tests for proportions and means and a one-sample t-test for paired data. Large sample and small sample methods for estimation of proportions are discussed. Nonparametric methods are discussed including the Wilcoxon Signed Rank test, the two-sample Mann-Whitney-Wilcoxon test and a permutation test for location.