Statistical Thinking: Improving Business Performance, Second Edition
- 9h 26m
- Roger Hoerl, Ron Snee
- John Wiley & Sons (US)
- 2012
How statistical thinking and methodology can help you make crucial business decisions
Straightforward and insightful, Statistical Thinking: Improving Business Performance, Second Edition, prepares you for business leadership by developing your capacity to apply statistical thinking to improve business processes. Unique and compelling, this book shows you how to derive actionable conclusions from data analysis, solve real problems, and improve real processes. Here, you'll discover how to implement statistical thinking and methodology in your work to improve business performance.
- Explores why statistical thinking is necessary and helpful
- Provides case studies that illustrate how to integrate several statistical tools into the decision-making process
- Facilitates and encourages an experiential learning environment to enable you to apply material to actual problems
With an in-depth discussion of JMP software, the new edition of this important book focuses on skills to improve business processes, including collecting data appropriate for a specified purpose, recognizing limitations in existing data, and understanding the limitations of statistical analyses.
About the Authors
ROGER HOERL leads the Applied Statistics Laboratory at GE Global Research, which focuses on new product and service development within each of the GE businesses. In 2006, he received the Coolidge Fellowship from GE Global Research, honoring one scientist a year from among the four global GE Research and Development sites for lifetime technical achievement. Dr. Hoerl has authored five books in the areas of statistics and business improvement, two book chapters, and over thirty-five refereed journal articles.
RON SNEE is founder and President of Snee Associates, an authority on designing and implementing improvement and cost reduction solutions for a variety of organizational environments. Dr. Snee has an outstanding record of leadership in process and organizational improvement in a variety of industries including pharmaceutical, biotech, clinical diagnostics, and telecommunications. Among his other achievements, he is credited with leading the design of the first company-wide continuous improvement curriculum for the global giant E. I. DuPont de Nemours. He holds a host of awards and honors, has coauthored four books, and published more than 200 articles on process improvement, quality, management, and statistics.
In this Book
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Need for Business Improvement
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Statistical Thinking Strategy
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Understanding Business Processes
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Statistical Engineering Tactics to Deploy Statistical Thinking
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Process Improvement and Problem-Solving Tools
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Building and Using Models
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Using Process Experimentation to Build Models
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Applications of Statistical Inference Tools
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Underlying Theory of Statistical Inference
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Summary and Path Forward