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 and regression 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 one-way and two-way layouts for analysis of variance. The course will emphasize data analysis (with appropriate use of statistical software) and the intuitive nature of nonparametric statistics.
Requisite: STAT 111 or STAT 135. Limited to 24 students. Spring Semester. Professor Wagaman.
Section 01
M 02:00 PM - 02:50 PM SMUD 205
Section 01
Tu 01:00 PM - 02:20 PM SMUD 205
Th 01:00 PM - 02:20 PM SMUD 205
| ISBN | Title | Publisher | Author(s) | Comment | Book Store | Price |
|---|---|---|---|---|---|---|
| Nonparametric Statistical Methods | Wiley 2014 | Hollander, Wolfe, & Chicken | Third Edition | TBD |