Donald W. McCormack, JMP Enablement Engineer, SAS Mia L. Stephens, JMP Academic Ambassador, SAS
Despite advances in technology and the availability of interactive software and teaching tools, it is still common to use normality-based methods, and even look-up tables, to teach statistical inference in both academic and commercial settings. This puts a heavy burden on students, who must struggle through difficult theory before they're taught how to make decisions and draw inferences from data. Interactive computer simulations and resampling methods can help bridge the gap between graphs and summary statistics and inference, expediting the learning process and providing a gentler and more natural transition. In this talk, we demonstrate a newly created add-in for performing randomization tests in JMP. We will describe the different resampling methods available in the add-in, and will see how to use resampling methods to explore test statistics, empirical sampling distributions, and p-values for standard hypothesis tests involving means and proportions.