STAT 205 - Statistics and Modeling

Semester Offered: First Semester
Full Course
Credits: 4 credits
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. Formerly offered as STAT 215.

Enrollment Limit: 32
Instructor: J. Witmer

Consent of the Instructor Required: Yes
Prerequisites & Notes: Takes the place of STAT 113, STAT 213. For students who earned a score of 3 or higher on the Statistics AP.