Download Statistical Thinking for Managers (Business Statistical), by David Hildebrand, R. Lyman Ott
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Statistical Thinking for Managers (Business Statistical), by David Hildebrand, R. Lyman Ott
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Focusing on the analysis of data using modern statistical and spreadsheet software, Hildebrand and Ott emphasize making sense of data and discuss not only how a statistical method is applied, but why and why not. Throughout the book, the authors integrate computer use into the development of statistical concepts, emphasizing the value of looking at data to make sure the right questions are being asked. The real-life applications and examples throughout challenge students to think like managers. The case that concludes every chapter asks students to deal with a relatively unstructured situation and to explain the statistical reasoning in nontechnical language. Modern statistical methods, including resampling and bootstrapping are included. In addition, the authors emphasize quality control and improvement throughout the book and include three full chapters on regression and correlation methods.
- Sales Rank: #599749 in Books
- Brand: Brand: Cengage Learning
- Published on: 1998-02-13
- Original language: English
- Number of items: 1
- Dimensions: 1.40" h x 8.29" w x 10.36" l, 3.50 pounds
- Binding: Hardcover
- 864 pages
- Used Book in Good Condition
About the Author
The late David Hildebrand earned his Ph.D. at Carnegie-Mellon University, and was affiliated with the Wharton School of Business at the University of Pennsylvania.
Lyman Ott earned his Bachelor's degree in Mathematics and Education and Master's degree in Mathematics from Bucknell University, and Ph.D in Statistics from the Virginia Polytechnic Institute. After two years working in statistics in the pharmaceutical industry, Dr. Ott became assistant professor in the Statistic Department at the University of Florida in 1968 and was named associate professor in 1972. He joined Merrell-National laboratories in 1975 as head of the Biostatistics Department and then head of the company's Research Data Center. He later became director of Biomedical Information Systems, Vice President of Global Systems and Quality Improvement in Research and Development, and Senior Vice President Business Process Improvement and Biometrics. He retired from the pharmaceutical industry in 1998, and now serves as consultant and Board of Advisors member for Abundance Technologies, Inc. Dr. Ott has published extensively in scientific journals and authored or co-authored seven college textbooks including Basic Statistical Ideas for Managers, Statistics: A Tool for the Social Sciences and An Introduction to Statistical Methods and Data Analysis. He has been a member of the Industrial Research Institute, the Drug Information Association and the Biometrics Society. In addition, he is a Fellow of the American Statistical Association and received the Biostatistics Career Achievement Award from the Pharmaceutical research and Manufacturers of America in 1998. He was also an All-American soccer player in college and is a member of the Bucknell University Athletic Hall of Fame.
Most helpful customer reviews
15 of 15 people found the following review helpful.
A muddled mess
By Joseph Boone
It's hard to believe that a Wharton professor produced this book but I guess it's just proof that no school is perfect. I'm sure the authors understand statistical analysis but they have no clue how to organize the material or communicate what they know effectively. Honestly, even if you have learned the concepts for a chapter through another source this book can be hard to follow.
Want an example of the murky text? Try this typical run-on sentence quoted directly from the book. "In the same way, the normal random variable is an abstraction, because in theory any numerical value, negative as well as positive, is possible, and the probability histogram is a smooth, symmetric, bell-shaped curve." Try stringing together 800 pages of similar prose and you have an idea what awaits you here.
I watched an entire class including the professor disown this book because it was useless. Do yourself a favor and avoid this turkey if at all possible.
2 of 2 people found the following review helpful.
The worst one among intro statistics books.
By A Customer
My MBA class (top 20 program)used this book. But even my instructor did not recommend us to read this book. Instead he just taught class with his own hand-out. We only used this book for exercise problems. There were students who had many years of research experience. But they even complained about this book and recommended me to read Anderson's " Statistics for Business and Economics". Anyway, I think if you have a good instructor it is O.K. Otherwise I am sure that it will be very painful. Gook luck.
1 of 1 people found the following review helpful.
The worse book about statistics
By A Customer
Do NOT buy this book. I am sure the author understands a lot about statistics but he definitely does not know how to organize its ideas. The book makes the subject appear much more complex than it really is. If you need to learn statistics are not a Statistics PhD student then what I really recommend you to do is to get another book. For MBA students: This book is way more complex than you will need to know for your studies.
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