MAT 3333: Statistical Modeling (2019-2020)

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A second course in applied statistics. This course builds on an introductory statistics course, providing students tools to perform more complex data analysis. Topics include linear and nonlinear regression, multiple regression, and analysis of variance. Statistical software will be used extensively. Typically offered: Alternate Years.

Term CRN Credits Instructor(s) Days Time Dates Location Open
Spring 47486 3 John Hossler
M,W,F
8:30AM-9:20 AM
03/31-06/05 Otto Miller Hall 139
25 of 25 seats open
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Attributes: Upper-Division
Grade Modes: (Default) Normal Grading, Audit
Instructional Methods: Traditional
Note: Full Term

Prerequisites:
MAT 2200: D or better
OR EGR 2200: D or better
OR MAT 2360: D or better
OR MAT 2700: D or better
OR BUS 2700: D or better
OR MAT 3360: D or better