Statistical theory and practice underlying the design of scientific experiments, and methods of analysis. Replication, randomization, error, linear models, least squares, crossed and nested models, blocking, factorial experiments, Latin squares, confounding, incomplete blocks, split-plots.
P: MATH 202 with at least a C, MATH 260 with at least a C, and MATH 306 with at least a C.
Spring Even.