STAT 215 - Statistics and Modeling

Semester Offered: First Semester
Full Course
Credits: 201709=12019
Attribute: 4NS, QFR

An introduction to statistics and, in particular, linear models for students with some background in statistics and a good background in mathematics. Topics covered include exploratory data analysis, probability, sampling, estimation, statistical inference, multiple regression, one-factor and multi-factor analysis of variance, and analysis of categorical data via logistic regression. Statistical software is used heavily.
Enrollment Limit: 32
Instructor: C. Dawson
Prerequisites & Notes
Takes the place of STAT 113, STAT 213. For students who earned a score of 3 or higher on the Statistics AP.