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intereact!Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, Keying Ye, Keying Yee
Edition: 7
Retail Price (not our price): $127.60
ISBN: 0130415294
ISBN-13: 9780130415295
Publication Date: 2002-01
Format: Hardcover
Pages: 730
Editorial Reviews (supplied by Amazon.com):
1) Product Description
This classic book provides a rigorous introduction to basic probability theory and statistical inference that is motivated by interesting, relevant applications. It assumes readers have a background in calculus, and offers a unique balance of theory and methodology. Chapter topics cover an introduction to statistics and data analysis, probability, random variables and probability distributions, mathematical expectation, some discrete probability distributions, some continuous probability distributions, functions of random variables, fundamental sampling distributions and data descriptions, one- and two-sample estimation problems, one- and two-sample tests of hypotheses, simple linear regression and correlation, multiple linear regression and certain nonlinear regression models, one factor experiments: general, factorial experiments (two or more factors), 2k factorial experiments and fractions, nonparametric statistics, and statistical quality control. For individuals trying to apply statistical concepts to real-life, and analyze and interpret data.
Customer Reviews (supplied by Amazon.com):
Average Customer Rating: 2.5 out of 5
1) If you have a choice, don't buy it!! [Rating: 1 out of 5]
I am very disappointed with this book, especially considering how much I paid for it... In particular, the book lacks good example problems (it lacks enough examples, period), and is somewhat unorganized. The authors do not explain how to use formulas very well, and they often skip steps and leave the reader bewildered. I also wish there were more answered problems for each chapter in order to test your knowledge more adequately. In combination with a poorly taught class, I have found the book to be ultimately unhelpful in my efforts to learn and apply statistics. If you're looking for independent study, or just a good stats book, this is definitely NOT the way to go.2) A decent undergrad book on the subject [Rating: 3 out of 5]
This is one of the better undergrad-level books on the subject, and the fact that it's now in it's 7th edition (as of this writing) shows that it's still in use in the halls of academia. My copy, if I remember correctly, is either a first or second edition. Unfortunately for me, I had a sub-par instructor (and a different text book) the first time I studied the material, and even though I got high marks in the class, I re-audited the class again, on my own time, with a different instructor, the following semester. The different instructor, and text book (this one), made a big difference, and really helped bring the material to life for me ... even though it cost me half of a perfectly good summer vacation to do it. Let's face it ... probability computations, permutations, and confidence intervals, can be a bit dry (and a hot classroom with no air conditioning didn't help matters), but Wadpole does a decent job of not only covering the material well. There are plenty of worse books on the material out there, trust me. This one's better than others I've seen.3) It is ok, but ... [Rating: 3 out of 5]
This is an OK book but too expensive for what it is. I learned a lot from the book. The excercises are good but the wording is sometimes confusing. You have the answers for "odd" exercises in the back of the book, but it looks like that the authors added new exercises in this edition and the answers are in the back of the book, therefore, you don't know if you got the right answer.You better read some other Basic Statistic book, before you using this book. Good for people that study Science or Engineering.4) Rough, Very Rough.... [Rating: 2 out of 5]
The problem with this book is that it can not decide whether it is a proper mathematics book, spending time on formal proofs and on mathematical intuition, or a "recipes" book simply providing the reader with a list of statistical techniques. The author spends some time going though the sequential building blocks of statistical theory, presenting key theorems, but only to leave more than 1/2 of them as "exercises". This leads to a number of problems such as:1) Uncertainty regarding the applicability of techniques without a proper derivation from first principles2) The need to constantly fall back to the detailed wording of past Theorems and Corrolaries to compensate the lack of clear intuitive understanding of the material presented3) The inability of the author to differentiate between BIG ideas and little details (and the links between them...) The book is therefore an OK framework to get a quick overview of the topic, for quick browsing and quick fixes, but in order to really cover the material properly, one needs to constantly refer back to more thorough and formal works.Remember the Calculus books that try to compensate a sharp presentation of ideas and concepts by encyclopedic integration techniques??? This is the statistical equivalent...5) Engineering Specialist [Rating: 4 out of 5]
With an exception of Chapter 1, this book is well written, well organized with logical flow of subjects, and having practical example for every chapter's sub-topics. I found most of these examples are simple and very supportive for the understanding of mathematical expressions and that link the underline subject with real-world application. This book, in my opinion, is an excellent text for science and engineering students as well as for scientist or professional engineer who wants to achieve his or her self-study of the fundamentals of probability and statistics. If Chapter 1 had provided a right level of abstract for an introduction of book's chapters and eliminated trivial / obvious errors (e.g. on pp. 9 and 10) in this chapter then, I believe, the reader's impression of the book would increase significantly.