PDF Download Statistics, 4th Edition
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Statistics, 4th Edition
PDF Download Statistics, 4th Edition
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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.
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Product details
Hardcover: 720 pages
Publisher: W. W. Norton & Company; 4th edition (February 13, 2007)
Language: English
ISBN-10: 0393929728
ISBN-13: 978-0393929720
Product Dimensions:
7.6 x 1.6 x 10.3 inches
Shipping Weight: 3.2 pounds (View shipping rates and policies)
Average Customer Review:
4.1 out of 5 stars
152 customer reviews
Amazon Best Sellers Rank:
#79,479 in Books (See Top 100 in Books)
The quality of the book is great! But for the content, if you are a beginner for statistics topics, this is the book for you, since there are few mathematical formulas and there are a lot of vivid examples and pictures, which will make you interested in statistics. However, if you want to get deeper insight into statistics, this book is too easy. Recommend "Introduction to Mathematical Statistics" by Hogg. That book is a excellent book to those who want to do something about machine learning, data science.
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.
This is a very good introductory statistics book. The way the authors present the material in a clear, concise, and sometimes even fun (there are some jokes in the book) is refreshing. They also try to explain the concepts to foster understanding instead of just presenting equations and formulas, which is a definite plus. This book is a classic and a great way to start learning about statistics.
My stats professor was horrible and basically taught nothing so this textbook was a lifesaver! It explains tough concepts clearly and has lots of great examples and practice problems. I got an A- in the class solely because of this book
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.
It's difficult to write a glowing review for a statistics textbook. Even if it's an excellent book, deserving of five stars, it's treating a subject the study of which, for most people, ranks right up there between watching paint dry and getting warts removed.I've used several statistics textbooks in teaching, tutoring and studying stats. Some of them had great illustrations, and some had a cool CD in the back. Most had instructions for using a TI calc, Excel or Minitab to solve problems. Some tried to push a sociopolitical agenda through careful selection of examples and problems. But until this book, none of them did a decent job of explaining, in plain language, what all the "things" in statistics really meant.Finally we have a textbook that explains to the student studying statistics for the first time, what the "standard deviation of the mean" (to choose a random example) really means, and why he/she should care. Other books may try, but their language is still up there in Math Land. This book gets it right.This book also has the great illustrations, the cool CD in back, the TI/Excel/Minitab instructions. It also has the sociopolitical agenda, as evidenced in the authors' choices for examples and problems. In a clever bit of self-parody, the book warns repeatedly about how easy it is to promote a sociopolitical agenda through the judicious use of statistics.The authors announce at the beginning of the book that it will not include any "how-to" algorithms or practice for calculating basic statistics by hand, since everyone has access to tools that do the hard work for you. That's a disappointment. Every student of statistics ought to calculate a standard deviation by hand once in their life, just so they know how it's done.
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