STS 256 APPLIED NONPARAMETRIC STATISTICS

This course focuses on data-oriented approaches to statistical estimation and inference using techniques that do not depend on the distribution of the variable(s) being assessed. Topics include classical rank-based methods, as well as modern tools such as permutation tests and bootstrap methods. Advanced statistical software such as SAS or SPlus may be used, and written reports will link statistical theory and practice with communication of results.

Credits

4 sh

Prerequisite

STS 212 or permission of the statistics program coordinator

Course Types

First-Year Foundation; Science

Offered

Offered spring of odd-numbered years.