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David Freedman

Statistics, 4th Edition 4th Edition

by David Freedman (Author), Robert Pisani (Author), Roger Purves (Author)

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Loose-leaf Version for the Introduction to the Practice of Statistics
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Renowned for its clear prose and no-nonsense emphasis on core concepts, Statistics covers fundamentals using real examples to illustrate the techniques.

The Fourth Edition has been carefully revised and updated to reflect current data.

ISBN-10

0393929728
ISBN-13

978-0393929720
Edition

4th
Publisher

W. W. Norton & Company
Publication date

February 13, 2007
Language

English
Dimensions

7.4 x 1.4 x 10.4 inches
Print length

720 pages
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Editorial Reviews

About the Author

David Freedman received his B.Sc. from McGill and his Ph.D. from Princeton. He has worked as a consultant for the City of San Francisco, the County of Los Angeles, the U.S. Department of Energy, and the U.S. Department of Justice. He has written several previous books and numerous technical papers. He is a member of the American Academy of Arts and Sciences and teaches at the University of California, Berkeley.

Robert Pisani received his B.A. and Ph.D. at the University of California, Berkeley. His research interests include probability models of market-price behavior and the statistical valuation of financial instruments.

Roger Purves received his B.A. at the University of British Columbia and his Ph.D. at the University of California, Berkeley, where he currently teaches. His research interests are in the mathematical foundations of probability theory.

Product details

Publisher ‏ : ‎ W. W. Norton & Company; 4th edition (February 13, 2007)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 720 pages
ISBN-10 ‏ : ‎ 0393929728
ISBN-13 ‏ : ‎ 978-0393929720
Item Weight ‏ : ‎ 2.77 pounds
Dimensions ‏ : ‎ 7.4 x 1.4 x 10.4 inches

Best Sellers Rank: #104,941 in Books (See Top 100 in Books)
- #16 in Statistics (Books)
- #21 in Dermatology (Books)
- #142 in Probability & Statistics (Books)

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David Freedman

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David A. Freedman (1938-2008) was a Professor of Statistics at the University of California, Berkeley. A distinguished mathematical statistician, he revolutionized the teaching of statistics with his undergraduate (new edition, 2007) and graduate (new edition, 2009) textbooks that emphasize clear reasoning over mere technique and that use numerous illustrations and empirical examples that are vivid, real, and up-to-date. Freedman also published widely on the application--and misapplication--of statistics in the social sciences. This major aspect of his work is synthesized in his book "Statistical Models and Causal Inference" (2009). Freedman was a member of the American Academy of Arts and Sciences and in 2003 received the National Academy of Science's John J. Carty Award for his "profound contributions to the theory and practice of statistics."

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José Eduardo

Very good for Students beginning in stats

Reviewed in the United States 🇺🇸 on February 18, 2022

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I liked the book very much! I highly recommend to all students interested in learning stats. I had no knowledge of this material before but book made it so easy to understand with stories and quite funny examples! Try it out! Piece a bit expensive for my budget though

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B. Jacobs

Nonstandard usage of the term “standard error”

Reviewed in the United States 🇺🇸 on May 15, 2011

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I’ve taught from this book for over 20 years, and I really love it, in spite of its flaws.

First, to address the flaws. Many critical reviewers seem to bemoan the lack of formulas and mathematical notation in this book, but I haven’t found this to be a problem at all. If you want this to be a part of your course, simply type up a formula sheet with the formulas in both English and mathematical symbolism, and — voila! — problem solved. As long as I also do problems on the board and on the test and quiz keys using both English and symbols, my students have not found this to be an issue at all.

A much more serious problem is the non-standard usage of the term “standard error.” In most textbooks, SDs (standard deviations) are for formulas using the parameter σ (or p), and SEs (standard errors) are for formulas using the statistic s (or ˆp ). This is the dominant convention.

However, in the Freedman book, SDs are for lists of numbers, and SEs are for random variables. (He even has an illustration underlining this point on p. 291). Although I do see pedagogical value in this non-standard convention (it makes the students mindful of whether they’re dealing with a list of numbers, or with a chance process) I have to agree with the critics that this could be very confusing to students who go on to more advanced courses. I deal with this issue by making it clear to the students that this usage is non-standard.

The reason that I love this book — in spite of it’s flaws — is two-fold. First the quality of the problem-sets is at a deeper level than is typical in most introductory statistics books. Secondly, I love the wonderful use of box-models to derive all of the statistical techniques. It’s akin to teaching students how to solve quadratic equations by completing the square; when they finally do learn the quadratic formula, they understand immediately where the formula came from. It’s just a formalization of what they’ve already been doing.

In so many statistics books, it’s just one big mess of magical formulas that the students need to learn to use, but why they work and where they come from remains a mystery. Moses might have brought them down from the top of Mt. Sinai, for all they know. (Yes, yes, I know that you can derive them on the board in class, but — let’s face it — it will mostly go in one ear and out the other.) The Freedman book promotes understanding at a deeper level. Indeed, by using box models, a talented student can derive the formulas for herself.

19 people found this helpful

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Random Colege Student (I write honest reviews, but I am not an expert so please read my reviews as personal experience.)

Easy to Read

Reviewed in the United States 🇺🇸 on July 10, 2020

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The textbook was pretty easy to read and understandable. The book relies heavily on diagrams, so it is a little easier for visual learners to read. The book is printed in black and white so it loses points there. I think it's a good book to read if you want to rush through Statistics. The presentation of formulas isn't that great, but if you read the textbook carefully you should be able to understand most of them in an instant.

There are not many practice questions (maybe 30 questions for each chapter at most), so if you learn by constant practice this book may not be for you.

One person found this helpful

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Skubalon12

This is a good introductory text on Statistics to teach anyone the subject ...

Reviewed in the United States 🇺🇸 on November 9, 2017

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This is a good introductory text on Statistics to teach anyone the subject from the very ground up. I rented this as a study tool to assist me in my occupation as a data analyst in the finance industry. Reading two chapters a week, I was able to get through the entire text during the "semester" period that Amazon rents it. After only a few chapters I found myself using the concepts in my work building models to analyze operations data. That being said, the book covers the basics of statistical thought beginning with box models and normal distributions, standard deviation and error. Most importantly as a introductory stats text, it is very readable with great examples and practice questions throughout. It may feel a little dated at points, but this won't hinder your learning at all.

16 people found this helpful

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Mark Lee

Superlative, Witty, Literate Introductory Statistics Text

Reviewed in the United States 🇺🇸 on April 16, 2011

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I'm not a "math person," and was compelled to take an Introductory Statistics course as the final math class toward my BA. I approached the course with preconceptions after hearing horror stories from other humanities folks about failure, shipwreck, plagues of locusts, and thoughts of suicide.

This is one of the top half-dozen texts of my entire college career.

Not only do the authors make statistics accessible and even fun, they do so in a consistently smart style that simultaneously simplifies statistical concepts while not pandering in the quality of language overall, or occasions for clever asides. While many professors will end up using modern calculators for the problems, the text bases its lessons on the use of tables (normal, t, and chi-square). I found myself following both the professor and, electively, the text for a more full understanding of "old school" methods. Each chapter has enough embedded problems (with answers at the end of the text) that the reviews and other materials provided by my professor were often redundant. I wish I had access to the answers for each chapter review questions, but that can hardly be a criticism in my "student" copy of the text.

I'll be revisiting this book long after I've ceased being a student. It has helped me have more informed attitudes about statistical products in general, which I suppose was a point of the course and the text.

34 people found this helpful

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Hannah Nelson

Not impressed

Reviewed in the United States 🇺🇸 on January 4, 2023

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The came all beaten up and written in, not impressed with the price I rented it for. Also when it came time for the rental to be returned no reminder email was sent or any reminder notification. Not really impressed for the price I spent...

Reviewed in the United States 🇺🇸 on September 27, 2020

Verified Purchase

The most intuitive introduction to statistics available. This text combines deep insight with complete accessibility -- an extremely rare combination. This books illustrates how profound questions are really what drives learning. Too often statistics and mathematics books are written as a series of answers to unarticulated questions. This text always puts inquiry firs: every answer has a question and every question leads to another.

10 people found this helpful

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Top reviews from other countries

Connie Tang

This book is perhaps the best I've on statistics for several reasons

Reviewed in the United Kingdom 🇬🇧 on November 2, 2017

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I am a practising engineer currently taking postgraduate course in Applied Statistics. This book is perhaps the best I've on statistics for several reasons:
1. The author arranged the concepts in a way which helps to build my understanding gradually. Important concepts and fundamentals get highlighted and are easy to refer.
2. The reading is effortless as the writing style is straightforward. You don't even need to have science background to understand.
3. The examples given can be easily replicated, e.g., dice tossing and drawing cards from a box. For any reader who understands better from practical works, this is great.

Perhaps the 3 points above are common in many books, but I particularly appreciate them because my university is using a textbook from the U.S. which has too many jargons and felt like ideas are being forced down my throat. There aren't much explanation on the fundamentals. I took this as a norm since many engineering textbooks are written this way as well. This book is so effortless that I can go back to it multiple times to re-cap some important basics.

4 people found this helpful

Ed

Great book, fast delivery

Reviewed in the United Kingdom 🇬🇧 on March 8, 2017

Verified Purchase

Freedmans statistics on considered on of the best books out there, when it comes to explaining fundamental statistical concepts without extensive use of formel notations. The delivery of the books was the fastest to date. I overlooked the fact that is was dispatched from India. Goods outside EU can be subjected to additional fees.

One person found this helpful

shivendra sharma

Recommended classic statistics manual

Reviewed in India 🇮🇳 on August 28, 2017

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This is a classic statistics manual that has been under print since the 1970s. Its fully comprehensive and covers almost every basic concept with great length and detail. For beginners, this is fully recommended while experienced/active statisticians too will find this to be equally helpful. Although I do believe that there are some printing mistakes and the authors could have provided some examples that cold relate to statistics of the modern world in view of the large amounts of data that is being generated now-a-days. But except that small little opinion, the book is a must have!

13 people found this helpful

SA

Great book for a beginner

Reviewed in India 🇮🇳 on August 29, 2016

Verified Purchase

It's a very comprehensive (for beginner's) and well written book. However it is targeted for a very nonmathematical audience. The authors go to great lengths to limit the use of equations. While I understand some might prefer that, I think sometimes it distracts the reader from having a crystal clear picture of the dynamics. We are after all trying to analyse numbers. That said, the authors take great care in introducing other nonmathematical visualisation tools like scatter plots. This is very instructive indeed.

11 people found this helpful

srikanth

Theory based

Reviewed in India 🇮🇳 on June 8, 2021

Verified Purchase

If you are new, like you don't know what is STATISTICS. Buying this book will be benificial.this book mostly on theory to understand statistics and how it is used in real world.Remember that there will be no complex find X things are present in it. I liked it because I solved only problems in schools and don't know what is statistics really is.

2 people found this helpful

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