|
| Login | Sign up | My Wish List |
![]() | Statistical Thinking for Managers (Business Statistical) by David Hildebrand, R. Lyman Ott ISBN-10: 0534204066 ISBN-10: 0-534-20406-6 ISBN-13: 9780534204068 ISBN-13: 978-0-534-20406-8 Hardcover 1998-02-13 South-Western College Pub Find Lowest Price | |
Editorials | ||
Product Description 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. | ||
Reviews | ||
The worst one among intro statistics books. 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. | ||
wow You better hope you have a good teacher. Don't use it as a last resort to study, if you can even find where a certain topic starts, its nearly impossible to follow. | ||
The Worst Book on the Planet DO NOT BUY THIS BOOK! This by far the worst book I have come accross in my life. I am a mechanical engineer taking statistics for my MBA. Fortunately I have a very good intstructor so I dont even use the book. Its worthless. Seems like the author is talking to himself. | ||
The worse book about statistics 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. | ||
A muddled mess 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. | ||