Six Sigma and Applied Statistics

Catalog description

Credits 3. 2 Lecture Hours. 3 Lab Hours. Concepts of probability and statistics, mean, variance, Gaussian/uniform/Student/Weibull distributions, and their applications in electronics design, analysis, and troubleshooting; Six Sigma process and tools including Gauge R&R, test of hypotheses, analysis of variance, linear regression, response surface method, control chart, and design of experiments. Prerequisites: Grade of C or better in ESET 210 and MATH 152 ; electronic systems engineering technology major.