Statistical Modeling for Discovery II

STAT 3302: Statistical Modeling for Discovery II

Statistical models for data analysis and discovery in big-data settings. The regression methods developed in Stat 3301 are extended to data settings with binary and multi-category outcomes. An introduction to some of the most commonly used statistical methods for exploring and analyzing multivariate data is provided. Interpretation and communication of the results of analyses is emphasized.
Prereq: C- or better in 3301, and Math 2568; or permission of instructor.
Credit Hours
3

Typical semesters offered are indicated at the bottom of this page. For confirmation check the Schedule of Classes list on the Registrar's website.


Recent Syllabi


SP20 STAT 3302 Huling [pdf]

SP19 STAT 3302 Kurtek [pdf]

SP18 STAT 3302 Karwa [pdf]

SP17 STAT 3302 Craigmile [pdf]

SP16 STAT 3302 Craigmile [pdf]



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Semester(s) Offered:

Spring