Mathematics (Agric&Envir Sci) : Principles of linear models, multiple regression equations and classification models. Introduction to Analysis of Variance and common statistical designs used in agricultural and environmental sciences. Emphasis on balanced and unbalanced designs and data structures; their analysis and tests of statistical significance.
Terms: Fall 2017
Instructors: Roger I Cue (Fall)
3 lectures and one 2-hour lab
Prerequisite: AEMA 310 or equivalent