Statistics and Design of Experiments

Catalog description

Statistics and Design of Experiments will study descriptive statistics, measurement techniques, SPC, Process Capability Analysis, experimental design, analysis of variance, regression and response surface methodology, and design robustness. The application of the normal distribution and the central limit theorem will be applied to confidence intervals and statistical inference as well as control charts used in SPC. Students will utilize statistical software to implement experimental design concepts, analyze case studies and design efficient experiments.