Department of Statistics

Recent Instructors Brownie, Cavell	ST 524	Statistics in Plant Science
	Course Description Field experimentation: block and plot shape and orientation, optimum plot size; power and sample size calculations; experiments in greenhouses and growth chambers: replication of between and within-chamber treatments; combined ANOVA for trials in several years and/or locations; factorial treatment designs and partitioning main and interaction effects; multiple comparison procedures; design and mixed model ANOVA for split-split and strip-split plots, repeated measures ANOVA, confounding in factorial designs, lattice designs, nonlinear regression, analysis of covariance, spatial analysis techniques. Course Syllabus Field experimentation: prinicples and practice Experiments in greenhouses and growth chambers Experiments in several years and/or locations Factorial treatment designs Multiple comparision procedures Split plot and related designs Repeated measures data Designs for trials and large numbers of treatments Nonlinear regression Analysis of covariance Spatial analysis techniques Use this link to see the ST524 syllabus. Course Prerequisites ST 512 Course Corequisites None Recent Textbooks None