상세정보

Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Foreword -- Breakthroughs I want you to know about -- In the real world -- Filling the gap -- Author -- Chapter 1: The Great Universal Cook-Off -- 1.1 Discover for Yourself -- 1.2 Creating a Context for Discovery -- 1.3 Requirements for Experimental Discovery -- 1.4 Requisite Warning Label -- 1.4.1 Understanding Variation -- 1.4.2 Demystifying Causation and Correlation -- 1.4.3 Unraveling Complex Interactions -- 1.5 Book Organization -- 1.6 Key Takeaways -- References -- Chapter 2: Eureka! And Other Myths of Discovery -- 2.1 Fairy Tales -- 2.2 Lightning Bolts -- 2.3 Geniuses -- 2.4 Key Takeaways -- References -- Chapter 3: Experimenting with Storytelling -- 3.1 The Secrets of Science -- 3.2 The Language of Science -- 3.3 Storytelling with Data -- 3.4 Storytelling with Graphics -- 3.4.1 Experimental Sketch -- 3.4.2 Process Flow Charts -- 3.4.3 Input–Process–Output Diagram -- 3.4.4 Infographics -- 3.5 Communicating Experimental Results -- 3.5.1 Components of Graphs -- 3.5.2 Introduction and Examples of Useful Graphical Tools -- 3.5.2.1 Pie Charts -- 3.5.2.2 Histogram -- 3.5.2.3 X–Y Scatter Plots -- 3.5.2.4 Time Series Data -- 3.5.2.5 Tables: When and Why -- 3.6 Importance of Conclusions -- 3.7 Key Takeaways -- References -- Chapter 4: Introducing Variation -- 4.1 Data Chaos -- 4.2 Data Basics -- 4.2.1 Significant Digits -- 4.2.2 Measurement Scales and Units -- 4.3 Variables -- 4.4 Measurement = Signal + Uncertainty -- 4.5 An Uncertain Truth -- 4.5.1 Strengthening the Signal -- 4.5.2 Reducing Uncertainty -- 4.6 Key Takeaways -- References -- Chapter 5: Oops! Unintentional Variation -- 5.1 History of Mistakes -- 5.2 Unintentionally Introducing Variation -- 5.3 Insurance Policy for Data Integrity -- 5.3.1 Checklists: A Safety Net -- 5.3.2 Standard Operating Procedures -- 5.3.3 Input–Process–Output Diagrams -- 5.4 Dynamic Measurements -- 5.5 Bad Data -- 5.6 Role of Intuition and Bias -- 5.6.1 Intuition and Hunches -- 5.6.2 Paradigms -- 5.6.3 Bias and Priming -- 5.7 Key Takeaways -- References -- Chapter 6: What, There Is No Truth? -- 6.1 Measurement Evolution -- 6.2 Problems -- 6.3 Definitions -- 6.4 Measurement System -- 6.5 Standards and Calibration -- 6.6 Measurement Matching -- 6.7 Analysis Methods -- 6.7.1 Setup -- 6.7.2 Average and Range Method -- 6.7.3 Average and Range Method Analysis -- 6.7.4 Analysis of Variance Method -- 6.7.5 Measurement System Problems -- 6.8 A Global Concern -- 6.9 Key Takeaways -- References -- Chapter 7: It’s Random, and That’s Normal -- 7.1 Patterns -- 7.2 Simple Statistics -- 7.3 It’s Normal -- 7.4 It’s Normal, so what? -- 7.5 Dark Side of the Mean -- 7.6 Key Takeaways -- References -- Chapter 8: Experimenting 101 -- 8.1 Torturing Nature -- 8.2 Processing, a Deeper Look -- 8.3 The Simplest Experimental Model -- 8.4 The Fun Begins… -- 8.5 Key Takeaways -- References -- Chapter 9: Experimenting 201 -- 9.1 Complex Problems -- 9.2 Establishing the Experimental Process Space -- 9.3 Selecting a Design -- 9.4 Running the Experiment -- 9.4.1 Experimental Example -- 9.5 Analysis -- 9.6 Coded Values -- 9.7 Full Factorial Example -- 9.8 Fractional Factorial Example -- 9.9 Comparing Full and Fractional Factorial Results -- 9.10 Nonlinearity, Repeatability, and Follow-up Experiments -- 9.11 Key Takeaways -- References -- Chapter 10: Strategic Design: Bringing It All Together -- 10.1 Process of Planning -- 10.2 What’s in a Plan? -- 10.3 DMAIC: Define, Measure, Analyze, Improve, Control -- 10.4 Murphy’s Law -- 10.5 Key Takeaways -- References -- Chapter 11: Where to Next? -- References -- Chapter 12: One More Thing… -- 12.1 References on Experimentation -- 12.2 References on Communication -- 12.3 References on Error Analysis -- 12.4 References on Checklists -- 12.5 References on Measurements -- 12.6 References on Randomness -- 12.7 References on Statistics and Designed Experimentation -- 12.8 References on Curiosity, Creativity, and Failure -- In Gratitude -- Index -- .