Design of Experiments
- The Nature of the Challenge
- Product and process design
- Product and process robustness
- Identifying potential key performance parameters
- Deterministic versus probabilistic thinking
- Basic Probability and Statistics Concepts
- The normal curve: Its history and mathematics
- Means and standard deviations
- Using normal curves, means, and standard deviations to predict probabilities of occurrence
- Confidence levels
- Sample size considerations
- Testing for normalcy
- Exceptions to the normal curve
- Basic Design of Experiments Approaches
- The z-test
- The t-test
- Analysis of variance (ANOVA)
- Fractional factorial experiments and Taguchi testing
- Applications
- Test plans
- Test readiness reviews
- Using Excel’s built in statistical analysis features
- Case studies
- Course Wrap-up: Recap, Q/A, and evaluations
