Statistics, 4th Edition | 
| Authors: David Freedman, Robert Pisani, Roger Purves
Publisher: W. W. Norton
Category: Book
List Price: $106.95
Buy Used: $70.00
You Save: $36.95 (35%)
New (41) Used (42) from $70.00
Avg. Customer Rating:  22 reviews
Sales Rank: 10117
Media: Hardcover
Edition: 4th
Number Of Items: 1
Pages: 578
Shipping Weight (lbs): 2.9
Dimensions (in): 10.4 x 7.4 x 1.6
ISBN: 0393929728
Dewey Decimal Number: 519.5
EAN: 9780393929720
ASIN: 0393929728
Publication Date: March 19, 2007
Availability: Usually ships in 1-2 business days
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Product Description
In its first edition, Statistics set a new standard for introductory texts, written in accessible language that teaches students how to think about statistical issues through real-world examples, such as political polls and Galton's regression paradox, and in terms of models that underlie statistical inference. Retaining these core strengths, the Fourth Edition adds a diverse body of new examples, exercises, and data sets, and has been thoroughly updated to reflect the most recent developments in the field.
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| Customer Reviews: Read 17 more reviews...
 A famous edition April 1, 2008
A famous edition of an old standard for stats and I gave this to someone as a gift but knew of it and was told by him that it is still one of the best books on the subject matter.
great for a first course to non-statistics majors February 13, 2008
4 out of 4 found this review helpful
Many introductory statistics texts suffer from one of two ailments. Either they incorporate too much mathematics for non-statisticians or they provide oversimplified and sometimes incorrect explanations. This text is excellent and is favored by many statisticians who teach the introductory service course for non-statistics majors. The book provides excellent and insightful explanations. It is written by well-known Berkeley statisticians with great theoretical and applied experience, so it is not oversimplified or inaccurate. On the other hand Friedman and his co-authors took pains to minimize the necessary mathematics. It covers all the topics one would want to include in a first course. Real examples are used throughout to illustrate the value of the methods. These include clinical trials and observational studies, telephone surveys and opinion polls and some models in genetics.
Discussion of the data snooping issue is important, particularly as we move into an age where data mining is now feasible with current computing power.
Math can be fun! :-) July 15, 2007
1 out of 1 found this review helpful
I generally agree with what others are saying. What's so unique about this book is that... get this: you'll get one of those rare math textbooks that are *fun* to read. Well... in a nerdy sense. I wish it was updated more recently though, because most of the samples use data back from 70s or early 90s at best, which, of course, does not make the book less correct or helpful.
I am re-learning some of my school classes (graduated with BS in Applied Math in 98) and I wish I saw this book when I took statistics back in college.
The perfect tool...for some jobs November 6, 2006
4 out of 4 found this review helpful
D. Messer asks how his/her review can be so different from Alice's. That's easy. They're both right. They are looking at the same book through different lenses.
If the goal is to explain what's really going on "under the hood" in an introductory class, there's no better book than FPP. However, it works its magic by discarding things that don't matter--like mathematical notation. I would argue that students who take a course using FPP would be able to successfully tackle problems that would cause others to shrug their shoulders from lack of comprehension.
However, it comes at a price. Students do not see the mathematical notation that is necessary to pursue the subject at advanced levels. Imagine, if you will, being an instructor with a class of students who had completed an introductory course with excellent grades and wouldn't recognize the formula for Student's t statistic in standard notation.
I've used FPP in a university setting. It works fine, BUT there has to be careful coordination with teachers of follow-up classes so that they can adapt their methods accordingly, that is, for a class who has a deeper understanding of the principles of statistics without having been exposed to the usual formulas in the traditional way.
Don't Ask Alice June 24, 2006
4 out of 6 found this review helpful
I'm not sure what book Alice read, but I find it hard to believe it was this one.
I won't bother repeating what so many others have said in other reviews, as I find them to be in alignment with my own opinion. However, I find Alice's review puzzling. How can so many other reviewers find this book to be so helpful, yet an instructor of the topic found it difficult to use as a course text? I actually feel like we read different books, as her description doesn't agree with my experience.
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