MATH 386: Linear Statistical Models

MATHEMATICS University of Wisconsin-Oshkosh 3.0 credits

Course Description

A unified approach to the application of linear statistical models in analysis of variance (ANOVA) and experimental design. In ANOVA topics from single-factor ANOVA and multifactor ANOVA will be considered. Experimental design will include randomized blocks, Latin squares, and incomplete block designs. Prerequisite: MATH 301 with a grade of C or better. 386/586

Reviews

Sign in to Review Login to Review

No reviews yet. Be the first to share your experience!

Sign in with Google Login to Review