- Hardcover: 544 pages
- Publisher: Duxbury Press; 001 edition (February 1, 2001)
- Language: English
- ISBN-10: 0534381588
- ISBN-13: 978-0534381585
- Product Dimensions: 9.6 x 7.5 x 1 inches
- Shipping Weight: 1.8 pounds
- Average Customer Review: 8 customer reviews
- Amazon Best Sellers Rank: #1,055,593 in Books (See Top 100 in Books)
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Statistical Thinking: Improving Business Performance 001st Edition
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"This book is clearly a groundbreaking work. To my knowledge there is nothing on the market that even comes close to doing what it does. I have always felt that one of the weaknesses of our teaching at the introductory level is giving the students a strategy for applying the statistical tools that they learn. This book does that beautifully." "This is a book that is badly needed with material that will make a real difference in the learning of students and their understanding and appreciation of statistics as a discipline and its application in solving real problems and improving real processes. The approach is one that students will enjoy. They will gain an appreciation for the discipline of statistics and see aspects of it that they never will appreciate from the typical introductory statistics text. It is a text that I would love to teach out of."
"Hoerl and Snee have captured the essence of Six Sigma methods in their book "Statistical Thinking - Improving Business Performance". This is THE primer that should be mandatory reading for all Black Belts who really want to master the statistical elements of Six Sigma. I heartily recommend it also for Master Black Belts who must review in order to be able to conduct Black Belt training. This book is a key text for all professionals in Six Sigma!"
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Top customer reviews
Hoerl and Snee accomplish this by teaching the principles and giving the student ideas to help him think statistically. This is different from the traditional approaches of most business statistics texts. Chapters 1 and 2 emphasize concepts before delving into techniques. Software tools...are introduced as needed. The underlying theory is well covered in chapter 9, but note that the authors have deliberately left the theory to the end of the book. The applications and illustration of techniques come first to teach the how and why. In the end the reader can be satisfied to learn the mathematical justification. Chapter 10 reviews what has been learned through two case studies and directs the student on how to take further steps to more advanced topics.
This book helps to put statistic in the center of business process. Statistic becomes part of something and not a entity complete separated from the subject matter.
The weakness of the book is to change the usual order of descriptive, probability and inference.
A good book that any lecture who is interested in motivate students should own.