freaking piece of Sh**
I'm a professional who works in the tech industry, and I'm pretty competent in Stats. I'm taking a Design of Experiments class this term for my masters program, and for whatever reason the instructor chose to use this book. It's utterly useless, piece of [literature]. The explanations are poor, no good examples, and NO ERRATA for a error-prone book!! I wonder if the authors paid instructors to use this book, because it's simple one of the worst books ever written. I'm sellign this junk right afterwards.. it's not even worth the shelf space... use it for toilet paper maybe!
few mistakes in 7th Ed., but no better for it ...
I haven't noticed the mistakes the other reviewers have mentioned; perhaps they reviewed an earlier edition, or I haven't gotten far enough (through ch. 8). Anyway, the book is awful purely on account of the author's inability to make the concepts clear, and to use terminology precisely -- perhaps this fog is masking the errors. Fwiw, others in my class agree. Also, the index is uselessly short, so if you don't remember the meaning of some term defined in the text, you'll have to hunt for the imprecise definition page by page. In sum: unclear and difficult to use. Seek another alternative if at all possible.
Many mistakes, poor examples, unhelpful
This is a required text for my statistics course. Personally, I do not understand why this text has been selected.There are mistakes throughout the book. This causes a lot of frustration as wasted time. There are very few examples in the book, and there are not examples that illustrate all concepts. Some of the examples start out explaining a certain concept, then instead of solving it all the way through, show how it can be transformed into a different problem which is then solved a completely different way. There are answers in the back of the book to odd numbered problems, as is normal in most math books. However, that is all. Simply the answers. The work required to acheive the answers is not present, so it can be very difficult to determine where a mistake has been made (Whether in your own work, or if the book is incorrect). The writing itself is very convoluted and uses far too much jargon for this to be a useful teaching text. I feel that the authors were more interested in making themselves sound intelligent than actually trying to help a student understand the material. If looking for a statistics text, look elsewhere.
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