Introduction to Design of Experiments

This course provides an introduction to design of experiments (DOE). It will enable participants to plan, conduct, analyze, and interpret a screening experiment.

This course is available as a one or two day module. We recommend the two-day module unless participant already have a good working knowledge of ANOVA and Linear Regression.

Course Content:

• Introduction to Design of Experiment

• DOE Planning, Preparation and Knowledge Management

• DOE Prerequisites: Hypothesis testing, ANOVA and Linear Regression

• Full factorial designs

• Fractional factorial designs

• Replication, Randomization and Blocking

• Model Reduction

• Checking Model Assumptions

• Interpreting the Prediction Equation

• Center Points

This course can be supported by different statistical software packages including StatEase (R) Design Expert, CR Graph Visual XSel, SAS(R) JMP(R) or Minitab(R).