The Fourth Edition has been carefully revised and updated to reflect current data.
Hardcover, Third Edition, 578 pages
Published January 1st 1998 by W. W. Norton & Company
(first published April 1st 1978)
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(showing 1-30 of 175)
During the fall of 1993, I was in my first semester of college. I took statistics and didn't like it at all. This was likely my own fault, as I was not a very serious student -- occasionally ditching class and frequently staying up much too late. During that fall semester in my statistics class, I wrote what seemed like a massive paper to an 18 year old, at 21 pages long (but it included data). Since I was 16, I had a job at Montgomery Ward at Randhurst shopping mall, where I sold shoes -- perha...more
I saw this on my brothers's old textbook shelf. I deal in statistics so I wanted to brush up using a basic text. I was very pleasantly surprised by the content of this book. It teaches statistics in a way different than the usual manner by using lots of examples, both real and hypothetical. The review questions are also case studies which makes the subject related.
This book is awesome! I read it in conjunction with a statistics course offered on edX, and it was so understandable and readable. I highly recommend it. Although I read the 1978 edition, the content was still relevant as long as I ignored the income levels, etc.
If you want to learn the ins and outs of statistics, this is the book for you. One wonders why exactly you would have such a desire, but that might just be too much information! This book is extremely well-written, and is designed for those (people like me) who don't have much in the way of advanced mathematical skills. Though I read this for a course I had to take, I actually enjoyed taking on some of the abstruse concepts presented here. It certainly makes much more sense of some of what you r...more
Any statistics book will teach you how to calculate means, standard deviations and covariances. But this book also teaches you the why behind the equations and when NOT to apply the equations. That is, it teaches you how to sniff out bad experimental design and data sets that do not fit the standard (or normal) distribution.