Fall 2023

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 often rely 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. A variety of other topics may be explored in the nonparametric setting depending on the instructor. Potential topics include but are not limited to: nonparametric correlation and regression, resampling techniques (e.g. bootstrapping and permutation procedures), 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 MATH/STAT 135 or STAT 136 or equivalent. Limited to 24 students. Fall semester. Professor Wagaman. 

How to handle overenrollment: Priority for Statistics majors.

Students who enroll in this course will likely encounter and be expected to engage in the following intellectual skills, modes of learning, and assessment: quantitative work, problem sets, quizzes or exams, use of computational software, project

STAT 225 - LEC

Section 01
M 1:00 PM - 1:50 PM SMUD 006
W 1:00 PM - 1:50 PM SMUD 006
F 1:00 PM - 1:50 PM SMUD 006

This is preliminary information about books for this course. Please contact your instructor or the Academic Coordinator for the department, before attempting to purchase these books.

ISBN Title Publisher Author(s) Comment Book Store Price
Nonparametric Statistical Methods Wiley, 2014 Hollander, Wolfe, and Chicken 3rd edition TBD


Other years: Offered in Fall 2023