 An Excellent Book
I am a chemist. Chemists,unfortunately know very little about statistics. I was placed on a project which required me to use multiple linear regression, ANOVA, and logistic regression. I purchased this book, hoping that it would help me to learn these methods. It did. This book does an excellent job of explaining a wide variety of statistical methods in a clear manner. It is easy to read and you will be amazed at how quickly you are able to read this entire book and develop a strong statistical knowledge.
I suggest you do the examples yourself as you move through the text using Excel. I think that this adds a great deal to the learning experience, and gives you confidence.
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Statistics book that makes sense
I bought this book in graduate school for my statistics class, and it has continued to help me ever since in my professional career. Unlike many of the statistics books that use complex formulas to explain statistical methods, this book breaks each formula down in an easy to follow format. After explaining the concept, the authors use an example to illustrate the point, which makes things much easier to understand. Also, the Appendix which has SPSS and SAS coding for each of the statistical methods described in the book is a lifesaver!
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As a student and a teacher, I've loved it! ( ellisgodard )
I was subjected to an earlier edition when I took statistics as an undergraduate, and I've used the 2nd and 3rd editions as a lecturer and professor, and I believe there is no preferable alternative.Agresti and Finlay are, above all, clear and accurate. Over the last decade, I've looked at several dozen alternatives, hoping to find one that's strong in the areas where this text is weak. I've been enticed by different layouts, writing styles, even overall motifs, but am always reminded of why I (and others) have relied on this text for so long. Some alternatives are just sloppy - poor editing, excessive typographic errors, incorrect answers in the answer keys. Some others border on incompetent, confusing basic issues and not clarifying the disputes on border issues. And some, while achieving rapport through comics, comedy, or simply light humor, lose some of the subtle finesse that statistics entails. Now, this one ain't perfect. The subtleties and disputes are side-stepped rather than highlighted. The text and layout are a bit wordy and eye-hard. And the examples are more practical than pedagogical. The data examples could be a bit sexier. But the meat is all there, and correct, and clear. And that's what you want in a statistics textbook. You don't need something that pretends stats is inherently fun or exciting. The lecturer should convey the power of p, the coolness of coefficients, and the holy grail of "r-squared". The text book should cover the material accurately and in detail, and this one does.
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