STAT 316

Design of Experiments

Course Description

Introduction to the analysis of data from planned experiments. Analysis of variance for multiple factors and applications of orthogonal arrays and linear graphs for fractional factorial designs to product and process design optimization. Regression analysis with applications in engineering. Prerequisite: either IND E 315, STAT 341, or STAT 390. Offered: jointly with IND E 316; W.