This best-selling introduction stresses the development of statistical thinking – the assessment of credibility and value of the inferences made from data – by both those who consume and those who produce the information. The authors emphasize inference; data collection and analysis are covered extensively, as needed, to evaluate the reported results of statistical studies and to make good business decisions. Numerous case studies, examples, and exercises draw on real business situations and recent economic events. Assumes a background in basic algebra.
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Customer Reviews:
Customer Rating: Summary: Excellent book, bad publishing Comment: I taught out of the 9th edition of this book and I liked it a lot. This is the perfect book for a second course in "methods statistics", i.e. a book about how to do the calculations, when to do them, and what they mean. There are no proofs or derivations, just recipes, but supplied with a lot of worked out examples, and an excellent discussions of when what methods are appropriate.
My gripe with the 10th edition is that the last two chapters, Time Series, and Non-parametric Statistics, are not printed on paper, but only available on the supplied student CD. These are two of the chapters that I teach, and I find it unacceptable that the students will not have these chapters in the book, but will have to look at them on the screen. Or, if they decide to print them out, our department budget for printing and copying will be bancrupted. The publisher's explanation was that this was done "to save printing costs". Yet, the new edition is not any cheaper than the previous one!
Reluctantly, I am switching to an inferior text by a different publisher, just because it has all its chapters printed.
Customer Rating: Summary: i taught out of an earlier edition of this book Comment: The fact that this book is in its tenth edition is an indication of its popularity. Many years ago I taught courses in business statistics at the advanced undergraduate and first year graduate level in the business school at Cal State Fullerton. I found it to be an excellent text to teach out of at that time. Since many editions have occurred since then and Terry is a third authored introduced in editions after the one I taught out of I really can't give a review of this edition. But I do think it will be helpful to amazon readers to know that McClave and Benson have a very good track record as authors of business statistics texts and Terry Sinich has coauthored a number of successful introductory and intermediate level statistics books. I am confident that this book is well written and has kept up with the advances in time series analysis that affects typical business related statistical problems. Customer Rating: Summary: Fast service and great product! Comment: The seller contacted me promptly after i send him/her a message. The book arrived shortly after the order was placed and was in a great shape.
Customer Rating: Summary: Wonderful Introductory Text Comment: Often using real-life examples taken from the media, McClave presents materials in an orderly fashion. Sub-sections are small (usually 5-6 pages) and problem sets are very nicely divided into Mechanics, Basic, and Advanced problems. My only dislike was chapter 3 counting rules, which seemed to be added without proper foundation. As both a student and now a tutor of this text, I find McClave's level of explanation sufficent for an introductory text. Customer Rating: Summary: Is there a solution manual for this book???? Comment: First of all I am not a statistics major and although I find statistics to be a very interesting but challenging subject I am afraid to say that so far I have not been very successful .... I need extra help and I have not yet found the solution manual for this textbook and I am amazed at the fact that there isn't one ? Can anyone help me...