The Statistical Sleuth: A Course in Methods of Data Analysis 3rd Edition

To my surprise, I actually enjoyed my required Statistics course in part because this textbook was fascinating (and in part because my professor was awesome). If you like examples from biology and psychology, then this book will capture your interest. There are examples from many other fields too, to appeal to a wide range of interests. You will see the importance of learning Statistics by examining the Case Studies.

As advertised

I have nothing to compare this to, but I think the text certainly attains its stated goals, which is to help researches gain an insight into many useful statistical methods without knowing the theory behind it. While I agree that I would love to have the theory presented as well, the fact of the matter is as long as you pay close attention to the limitations stated in the text, you can get by without knowing the theory for a lot of analysis if you are using a decent statistical software package.It ultimately comes down to what you need to do. If you have a pretty good statistical program that does the calculations for you, then this book is quite useful, and in fact will allow you to apply statistical methods over a broader range, much quicker than if you learn the underlying theory and use something like Matlab to write your own calculations for the same methods. If you are going into a profession for long term data analysis, this would be an excellent place to start because the focus is on practicality and case studies so you can see what the methods are used for (i.e. see the "forest" through the "trees").However, the next step after this book would be something deeper on the calculus derivations for regression and further exploration into stated assumptions violations such as independence and constant variance.

Has lot of case studies and experiments, must read end-to-end. This book is for any aspiring data scientist to understand the core statistics..

This book has lot of kindle features disabled may be to avoid piracy.That makes it very strainful on you eyes to read it on a screen.Cannot change font size, cannot change background color.The font is not designed for e-reading at all.It is a punishment to read it with these features disabled

The book is in good condition and the price to loan this book is quite cheap.

The author is clearly expert in statistical analysis. He succeeds in introducing statistics as an entity unto itself, rather than a little understood and oft-misused tool by scientists. This book is intended for serious scientific minds who want to understand the elements of statistical thought and analytics. Chapters utilize published scientific papers to explore statistical concepts and teach appropriate applications. It is here, unfortunately, that the book falls quite short. In treating statistics as the science it is, the author presumes too much on the part of the student. It is akin to a beginning cell biology student sitting through a series of advanced molecular genetics seminars. The explanations of many concepts presume too much fundamental knowledge or provide insufficient detail to be able to follow the essential thought processes. The organization of the book is also problematic, one chapter does not always follow from the one preceding it. Each chapter is accompanied by 25 - 35 practical exercises, and data sets are available for download to use with these exercises. In addition there are approximately a dozen quiz questions per chapter. Unfortunately, solutions are not available for the exercises, only answers for the quiz questions. It is a noble attempt, but one which remains far short of its goal as an introductory text book. Many students will become frustrated with it early and put it away in favor of classroom discussions.

The book is decent, but there are many texts that are better written. It presents the material in a way that is rather bland and I thought it definitely could show more derivations and proofs.

What the title says. This book is a great way to learn about the basics of statistics, and it is very well written. However, I got sent the SOFTCOVER version. Not sure why.

It is listed as hardback, but it is actually paperback. And not even an standard quality paperback: pages are really thin and in very bad printing quality ("Bible" quality rizla-pages), and the cover is much thinner than a normal standard paperback cover. It won't last long, for sure.It is a shame, the book seems very good in terms of contents, but the quality of the physical book is really bad. It is not worth the money.