Studies nonparametric and distribution-free statistical procedures and techniques. Alternative procedures for one- and two-sample procedures, multiple comparisons, ANOVA, regression models, correlation, and analysis of categorical variables, including ordinal variables, will be examined via rank-based (e.g., Wilcoxon/Mann-Whitney, Kruskal-Wallis) and randomization-based methods (e.g., permutations, bootstrapping). Emphasis will be on analysis using statistical computing and programming software and the intuitive nature of nonparametric statistics. (Prereq: STAT 100 or STAT 250 or MATH 320 or BUS 204 with a C- or better)
Units:4