statistics

Principles of Statistics
$14.95
I started reading this book and the first parts made sense, then I got lost. It might be a good book for a refresher or a review, or maybe I am just a visual learner.

How to Lie with Statistics
$11.95
This is a first of a kind classic that describes some of the more common ways that quantitative data and graphs are used, knowingly or unknowingly, to misrepresent reality. Even though the examples are a bit dated this does not diminish the value of the book. If anything, I would argue that the book is more relevant now than it was when Huff wrote it 50 years ago. Why so? Because in this crazy-busy world in which we live, on the whole we are more susceptible than ever to accepting statistical data, carte blanche, no questions asked. This state of affairs is an unfortunate reality that unscrupulous advertisers, politicians, special interest groups, and others are well aware of and continue to take advantage of.

Finally, don't be dissuaded by those who criticize the book for being light on statistical theory. It was not written for statisticians.

Statistics Workbook For Dummies (For Dummies (Lifestyles Paperback))
$16.99
Used this in a graduate Statistics course to help with ideas. Worked for me.

Head First Statistics
$34.99
Head First Statistics is an outstanding introduction to statistics for those who need a good nuts-and-bolts guide that explains what the basic statistical operations are, how to use them, and-- most importantly-- where they should be used. It would also be very useful to those who were left dazed and confused by an earlier encounter with a college stats course. This is because it differs so much from most textbooks and reviews guides. In fact, it's actually interesting to read, and the exercises are fun to do. (I know how unlikely that sounds, but it's true!)

The greatest strength of this book is the progressive way it builds understanding by clearly explaining exactly what each statistical function means, what the results of each function shows about the data, and when it should-- and shouldn't-- be applied. By the end, anyone who reads carefully and does the exercises will have a pretty firm grip on the essentials of statistical analysis.

The book is unusual in its concept and design, too. The concepts are served up in easily digestible bites with lots of graphics, useful sidebars containing supplemental information, and exercises based on practical, real-world cases. No math beyond basic algebra is necessary for doing any of the exercises in the book. Finally, the tone is light and conversational, but it isn't at all condescending or cutsie.

This most certainly is not an advanced textbook or a comprehensive reference manual. However, for anyone who needs an introductory text or a review for a stats exam, this is the book to get. I recommend it most highly.