MATH 337 - Data Analysis

Next Offered: 2018-2019
Semester Offered: Second Semester
Credits: 3 hours
Attribute: 3NS, QP-F

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
MATH 113 or 114 and MATH 232 or consent of the instructor. Note: Given in alternate years only.