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1. Catalizing the Generation of Knowledge. 2. Basics: probability, Parameters and Statistics. 3. Comparing Two Entities: Relevant Reference Distributions, Tests and Confidence Intervals. 4. Comparing a Number of Entities: Randomized Blocks and Latin Squares. 5. Factorial Designs at Two Levels: Advantages of Experimental Design. 6. Fraction Factorial Designs: Economy in Experimentation. 7. Other Fractionals, Analysis and Choosing Follow-up Runs. 8. Factorial Designs and Data Transformation. 9. Multiple Sources of Variation: Split Plot Designs, Variance Components and Error Transmission. 10. Least Squares and Why You Need to Design Experiments. 11._Modelling Relationships, Sequential Assembly: Basics for Response Surface Methods. 12. Some Applications of Response Surface Methods. 13. Designing Robust Products: An Introduction. 14. Process Control, Forecasting and Times Series: An Introduction. 15. Evolutionary Process Operation. Appendices. Index. _