STS 325 DESIGN AND ANALYSIS OF EXPERIMENTS
This course explores methods of designing and analyzing scientific experiments to address research questions. Emphasis is placed on statistical thinking and applications using real data, as well as on the underlying mathematical structures and theory. Topics include completely randomized designs, randomized block designs, factorial treatment designs, hierarchical designs, split-plot designs and analysis of covariance. Advanced statistical software such as SAS or SPlus may be used, and written reports will link statistical theory and practice with communication of results.
Prerequisite
MTH 220,
STS 212 or permission of the statistics program coordinator
Offered
Offered every fall semester.