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STAT 331 - Intermediate Applied Statistical Methods

  • 3 credits

Covers applied regression methods, including: interaction; model assumptions and diagnostics, selection, and validation; penalized estimation; GLMs; mixed models; factorial ANOVA; ANCOVA. Also covers basic categorical data analysis and non-parametrics. Strong emphasis on application and interpretation; lesser emphasis on mathematics.

Assignments involve reproducing analyses in published scientific papers and open ended data analysis projects. Data analyses are performed using JMP software.

If you should have any questions about this course offering, please contact Graduate & Online Program Coordinator, Alex Peitsmeyer.

Prerequisite

STAT 301 (Introduction to Statistical Methods) or STAT 315 (Intro to Theory and Practice of Statistics); Credit not allowed for both STAT 331 and STAT 380A1.

Instructors

Ben Prytherch
Ben Prytherch

prytherc@stat.colostate.edu

Ben received his MS in statistics from Colorado State University, and joined the department as a full time instructor in 2013. When he has spare time, Ben likes to spend it writing, recording, and performing music.