Introduction to Design of Experiments

Do you have limited time or money to evaluate responses of a complex system? Design of experiments is a statistical method to help you develop a time/cost constrained simulation or test program. It determines the relationship between factors affecting a system and the responses of that system while identifying key performance parameters, and extracting the maximum value from limited data sets. After reviewing basic statistical concepts, participants will learn how to design and analyze an experiment while identifying significant factors of a test. By the end of the course, participants will be able to plan and design experiments, conduct simple analyses, and analyze robust designs using a variety of block, factorial, and fractional factorial designs.

    What You Will Learn:
  • Review of statistics and hypothesis testing
  • Fundamentals of Analysis of Variance (ANOVA)
  • Principles of experimental design
  • Guidelines for designing experiments
  • Single- and multi-factor designs with effects and interactions
  • Replicated, fractional factorial, and Taguchi methods
  • Conducting experiments, analyzing results and performing residual analysis
  • Statistical software tools (such as Minitab or JMP)

Previous experience or education in basic statistics.

Available Sessions