STAT 316

Design of Experiments
4.0 credits

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.

Syllabus Downloads

Current Time Schedule

Winter, 2025

SLN/Section Time Location Instructor
20732 A
Open

T Th 2:30PM - 4:20PM

GWN 201

John Y. Choe