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Preface | |
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Introduction to JMP | |
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statistical Thinking Concepts | |
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Need for Business improvement | |
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Today's Business Realities and the Need to Improve | |
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We Now Have Two Jobs: A Model for Business Improvement | |
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New Management Approaches Require Statistical Thinking | |
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Principles of Statistical Thinking | |
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Applications of Statistical Thinking | |
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Summary | |
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Notes | |
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Statistical Thinking Strategy | |
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Case Study: The Effect of Advertising on Sales | |
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Case Study: Improvement of a Soccer Team's Performance | |
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Statistical Thinking Strategy | |
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Context of Statistical Thinking: Statistics Discipline as a System | |
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Variation in Business Processes | |
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Synergy between Data and Subject Matter Knowledge | |
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Dynamic Nature of Business Processes | |
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Summary | |
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Project Update | |
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Notes | |
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Understanding Business Processes | |
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Examples of Business Processes | |
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SIPOC Model for Processes | |
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Identifying Business Processes | |
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Analysis of Business Processes | |
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Systems of Processes | |
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Measurement Process | |
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Summary | |
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Project Update | |
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Notes | |
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Statistical Engineering: Frameworks and Basic Tools | |
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Statistical Engineering: Tactics to Deploy Statistical Thinking | |
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Statistical Engineering | |
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Case Study: Reducing Resin Output Variation | |
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Case Study: Reducing Telephone Waiting Time at a Bank | |
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Basic Process Improvement Framework | |
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Case Study: Resolving Customer Complaints of Baby Wipe Flushability | |
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Case Study: The Realized Revenue Fiasco | |
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Basic Problem-Solving Framework | |
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DMAIC Framework | |
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DMAIC Case Study: Newspaper Accuracy | |
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Summary | |
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Project Update | |
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Notes | |
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Process improvement and Problem-Solving Tools | |
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Stratification | |
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Data Collection Tools | |
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Basic Graphical Analysis Tools | |
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Knowledge-Based Tools | |
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Process Stability and Capability Tools | |
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Summary | |
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Project Update | |
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Notes | |
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Formal Statistical Methods | |
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Building and Using Models | |
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Examples of Business Models | |
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Types and Uses of Models | |
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Regression Modeling Process | |
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Building Models with One Predictor Variable | |
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Building Models with Several Predictor Variables | |
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Multicollinearity: Another Model Check | |
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Some Limitations of Using Existing Data | |
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Summary | |
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Project Update | |
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Notes | |
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Using Process Experimentation to Build Models | |
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Why Do We Need a Statistical Approach? | |
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Examples of Process Experiments | |
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Statistical Approach to Experimentation | |
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Two-Factor Experiments: A Case Study | |
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Three-Factor Experiments: A Case Study | |
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Larger Experiments | |
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Blocking, Randomization, and Center Points | |
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Summary | |
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Project Update | |
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Notes | |
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Applications of Statistical Inference Tools | |
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Examples of Statistical Inference Tools | |
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Process of Applying Statistical Inference | |
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Statistical Confidence and Prediction Intervals | |
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Statistical Hypothesis Tests | |
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Tests for Continuous Data | |
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Test for Discrete Data: Comparing Two or More Proportions | |
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Test for Regression Analysis: Test on a Regression Coefficient | |
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Sample Size Formulas | |
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Summary | |
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Project Update | |
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Notes | |
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Underlying Theory of Statistical inference | |
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Applications of the Theory | |
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Theoretical Framework of Statistical Inference | |
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Types of Data | |
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Probability Distributions | |
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Sampling Distributions | |
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Linear Combinations | |
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Transformations | |
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Summary | |
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Project Update | |
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Notes | |
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Summary and Path Forward | |
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A Personal Case Study by Tom Pohlen | |
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Review of the Statistical Thinking Approach | |
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Text Summary | |
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Potential Next Steps to Deeper Understanding of Statistical Thinking | |
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Project Summary and Debriefing | |
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Notes | |
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Effective Teamwork | |
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Presentations and Report Writing | |
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More on Surveys | |
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More on Regression | |
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More on Design of Experiments | |
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More on inference Tools | |
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More on Probability Distributions | |
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Process Design (Reengineering) | |
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t Critical Values | |
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Standard Normal Probabilities (Cumulative z Curve Areas) | |
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Index | |