Spring 2015

Nonparametric Statistics

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.

STAT 225 - L/D

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.


2024-25: Not offered
Other years: Offered in Spring 2015, Spring 2018, Spring 2020, Spring 2022