Upon completion of the course the participants will be able to understand the ideas associated with sampling & data collection, demonstrate the ability to evaluate distributions, select appropriate sample sizes for performance evaluation, conduct comparative tests using data, use regression techniques to analyze the results and make process/product improvement, select an appropriate analysis technique based on the type of data, apply the principles of robust design, design experiments appropriate for the information of interest, use and apply the structures of orthogonal arrays for industrial problem solving, assure the experimental design is efficient, and use software to design and analyze experiments.

Event agenda:

9:00am - 5:00pm daily, lunch provided