STA 4002 - Applied Linear Models I

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Review of 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, multiple comparisons, and randomized blocks. Required background: a first course in statistics. STA 5002 is cross-listed with an undergraduate course, STA 4002. Student may not receive credit for both courses.
General Education Requirement(s): 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 2226, and APM 2555 or MTH 2775, each with a grade of (C) or higher, or permission of instructor; WRT 1060 or equivalent with a grade (C) or higher