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.
From the Inside Flap
Now in a second edition, Roger Hoerl and Ron Snee′s Statistical Thinking: Improving Business Performance prepares you for business leadership by developing your capacity to apply statistical thinking to improve business processes. The authors clearly illustrate how to implement statistical thinking and methodology in your work to enhance business performance.
Introducing statistical engineering, a discipline that helps you utilize multiple statistical tools in a logical way to drive greater impact, the new edition of Statistical Thinking: Improving Business Performance now:
Emphasizes JMP software as the main tool to develop graphics and perform statistical analyses
Explores basic graphical tools, knowledge–based tools, as well as process stability and capability
Discusses the tools in a more logical sequencethe sequence in which they are typically applied in practice
Adds tools, such as failure mode and effects analysis (FMEA) and the cause and effect (C&E) matrix, as well as further guidance on how the tools are naturally linked and sequenced
Looks at the Define, Measure, Analyze, Improve, Control (DMAIC) framework made popular through the Lean Six Sigma initiative
This Second Edition offers an abundance of new exercisesavailable on the new edition′s companion websiteand real case studies for an increasingly relevant presentation of statistics in the business setting. Whether you are a business performance manager, cost accountant, or a student of statistics, Statistical Thinking, Second Edition shows you how to solve real problems, boost real processes, and successfully derive actionable conclusions from data analysis.