Experiment Design and Analysis

Catalog description

This course introduces students to the experimental design approaches for studying, developing, and improving the performance of processes and systems. Topics covered include the design fundamentals, randomized design, analysis of variance techniques for hypothesis testing, block designs, factorial experiments, random effects, and mixed models. Students will apply statistical software to plan, design, and conduct experiments efficiently and effectively, and analyze the resulting data to improve processes.