Examine the interpretation of data from designed experiments and production processes. Explore subjects including probability distributions, confidence intervals, analysis of variance, hypothesis testing, factorial designs, and quality control data. Three lecture hours a week for one semester. Electrical and Computer Engineering 390C and Electrical Engineering 390C may not both be counted. Prerequisite: Graduate standing in engineering and a course in probability and statistics.