Introduction to Design of Experiments 2017 is a webinar that covers topics such as:
- The basics of hypothesis testing. These fundamentals carry over into SPC and acceptance sampling as well as DOE
- The competitive and economic implications of effective DOE
- The meaning of factors, levels, and interactions
- How to interpret the results of an experiment in terms of its significance level, the quantifiable "reasonable doubt" of concluding wrongly that the experimental treatment differs from the control
- The basics of how to exclude extraneous variation sources from an experiment to ensure that observed differences come from the factors under study
Introduction to Design of Experiments 2017 is intended for:
- Quality managers
- Manufacturing
- Decision makers
- Technicians