Listed in: Mathematics and Statistics, as STAT-225
Amy S. Wagaman (Section 01)
This course is an introduction to nonparametric and distribution-free statistical procedures and techniques. These methods rely heavily on counting and ranking techniques and will be explored through both theoretical and applied perspectives. One- and two-sample procedures will provide students with alternatives to traditional parametric procedures, such as the t-test. We will also investigate correlation, regression, and one-way analysis of variance techniques in a nonparametric setting. A variety of other topics may be explored in the nonparametric setting including resampling techniques (for example, bootstrapping), categorical data and contingency tables, density estimation, and the two-way layout. The course will emphasize data analysis (with appropriate use of statistical software) and the intuitive nature of nonparametric statistics. Four class hours per week.
Requisite: STAT 111 or STAT 135 or equivalent. Spring semester. Professor Wagaman.
Section 01
M 08:30 AM - 09:50 AM MERR 131
W 08:30 AM - 09:50 AM MERR 131
F 08:30 AM - 09:50 AM MERR 131
| ISBN | Title | Publisher | Author(s) | Comment | Book Store | Price |
|---|---|---|---|---|---|---|
| Nonparametric Statistical Methods | Wiley, 2013 | Hollander, Wolfe, and Chicken | Amherst Books | TBD |
These books are available locally at Amherst Books.