Nonparametric Statistics

Catalog description

This course is an introduction to the theory and procedures for using distribution-free methods in data analysis. Standard procedures, such as the Wilcoxon tests, Kruskal-Wallis, Kolmogorov-Smirnov, nonparametric confidence intervals, regression analysis, and powers of the tests are included. Computer programs are used when appropriate. This course is taught largely at an undergraduate level. Graduate students have additional course requirements/expectations. Prerequisite: grade of "C" or better in STAT 305 or STAT 345 ; junior standing. Offered Spring - Even Numbered Years.