STAT 331 Nonparametric Statistical Methods

An introduction to nonparametric statistical analysis including estimation and hypothesis testing. Key terminology in the discipline is explained. This course covers methods such as dichotomous data, one-, two-, and k-sample problems, and independence tests. Throughout the course, the efficiencies of various methods are considered, as well as the conditions for validity required. Connections across settings are highlighted. While this course is intended to fill the requirements of the Statistics minors and Mathematics majors, it may also be of interest to others with basic statistical understanding who would like to explore analysis of non-normal data, especially with smaller sample sizes.