Data and statistical analysis are increasingly integral parts of modern business improvement, including the lean six sigma and holistic improvement approaches. No longer the purview of high-level specialists, statistics is now a required competency for managers and business students, because performance improvement is a day-to-day must for every business.

Because statistical analysis has been infused into the contemporary business context, we need to understand business performance in a way that incorporates the role of statistics. Data and analysis are no longer the cherries on top they are some of the main ingredients in today's top performing organizations. Uniquely, Statistical Thinking: Improving Business Performance recognizes the need for an integrated approach and gives readers a real-world perspective that goes far beyond the mathematical formulas.

This Third Edition features a long list of updates and revisions that further align the content with current business techniques and educational best practices. The authors have walked the walk, using their own statistical analysis of student feedback to identify major improvements to the text. Additional topics, more visuals, clearer descriptions, and a new chapter focusing on data quality are just a few of the improvements.

Authors and business performance gurus Roger Hoerl and Ron Snee have received acclaim for their engaging, reality-first approach to statistics education. Learners gain a top-down view of statistics and what we are really trying to accomplish when we analyze business data. Each analysis topic is first presented in context, showing how it works in practice before teasing apart the theoretical details. The result is a thoroughly modern book that will help readers develop, not just the skillset, but the mindset to improve business performance using statistics.

A STATE-OF-THE-ART INTRODUCTION TO BUSINESS STATISTICS

In today's business environment, performance improvement must be a constant. The most effective managers and performance specialists are those who can see statistics everywhere they look. They understand the "big picture" of business processes and can apply data analysis methodologies with purpose, deriving actionable conclusions from data and helping organizations toward their goals. Statistical Thinking is the only business statistics book that will help you develop these big picture skills while training you in the use of important tools, including JMP software and key methodologies.

New to this Third Edition 版本:

• A renewed focus on real-world issues of current importance in business, including data science, data visualization, p values and statistical significance, and statistical engineering
• An all-new chapter on data, data pedigree (quality), tools for acquiring data, and evaluating data measurement systems
• A practical framework for understanding outliers, systematic variation, and random variation, enabling you to understand and explain anomalies in any dataset
• Thorough content revisions, including updated graphs and tables, based on firsthand teaching experience and student input