MATH 345
Applied Statistical Methods
University of Indianapolis · UGRD · Fall 2026
1 section1 open now
Catalog description
The course focuses on linear models for regression and analysis of variance. Topics include simple and multiple regression, analysis of variance, analysis of covariance, logistic regression for binary outcomes, and nonparametric methods. Model checking and refinements as well as interpretation and communication of results will be emphasized. Examples will come from such fields as Biology, Business and Economics, and Engineering.
Sections
Current meeting, instructor, credit, and enrollment details
01
20 openSeats: 4/24 seats Last recorded: Aug 15, 2026, 3:33 PMClass #19039Fall 2026UGRD4 credits
20 available4 enrolled24 capacity0/99 waitlist
- Days & times
- MTWF 1200-1250
- Meeting dates
- Aug 31 – Dec 19
- Location
- Martin Hall 310
- Instructor
- Nguyen, Anh
Section notes
Instructional method: Traditional
Details checked 4 hours agoSeats checked 4 hours ago
Class numbers and section codes come from the registrar.
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