STA 5002 - Applied Linear Models I
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, randomized blocks. Required background: a first course in statistics. Prerequisite: STA 5001.
Prerequisite(s): Student must meet prerequisite (STA 501). Required background: a first course in statistics.
Course revisions made after the Graduate Catalog publication date will be posted in the Graduate Catalog Addendum.
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