STA 4002 - Applied Linear Models I

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Basic results from probability and statistics, linear regression, model testing and transformations, matrix methods in multiple regression, polynomial regression, indicator variables, basics of experimental design, one-way ANOVA with fixed and random effects. (Formerly STA 402) Satisfies the university general education requirement for a writing intensive course in the major. Prerequisite for writing intensive: completion of the university writing foundation requirement.
Prerequisite(s): (STA 226 or STA 2226), and (APM 255 or APM 2555) or (MTH 275 or MTH 2775), each with a grade of 2.0 or higher, or permission of instructor.