STAT 337 - Data Analysis

Next Offered: 2014-2015
Semester Offered: First Semester
Full Course
Credits: 4 Credits
Attribute: 4 NS, QFR

Students will gain experience in a wide variety of data analysis techniques. The focus of the course will be on the interpretation of results and the suitability of techniques, while statistical software will be utilized to handle computational considerations. Regression analysis will be covered in depth with special emphasis on the use of graphical methods. A limited selection of additional topics will be chosen from among ANCOVA, experimental design non-parametric statistics, time series, classification, clustering, and smoothing.
Instructor: J. Witmer
Prerequisites & Notes
Prerequisite: STAT 113 or 114 and MATH 232 or permission of the instructor. Note: Given in alternate years only.