Design & Analysis Experiments

Prerequisite: MATH 120 with a minimum grade of "C-" or MATH 202 with a minimum grade of "C-"; and MATH 200 with a minimum grade of "C-" or MATH 403 with a minimum grade of "C-"; or consent of instructor This course provides an in-depth look at the statistical design and analysis of experiments. The emphases are on understanding design choices, critical assessment of design options, correct communication of conclusions, and use of statistical software to calculate test statistics. Topics include formulating a statistical question, confounding, randomization, blocking, replication, analysis of variance, analysis of covariance, variance stabilizing transformations, factorial designs, random effects and mixed effects models, repeated measures, and nested and split-plot designs. The course includes hand-on active learning and applications of the concepts in specific contexts using statistical software. Offered spring semester.