Statistics in unusual in its emphasis on the models that underlie statistical inference. The authors make the models comprehensible and show why choosing the wrong model can lead students astray. Carefully constructed exercises in every chapter offer practice in computational skills. Other call for rough estimates and qualitative judgments, so students are forced to come to grips with the concepts instead of mechanically applied formulas. Most sections close with an exercise set; the answers are in the back of the book, ...
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Statistics in unusual in its emphasis on the models that underlie statistical inference. The authors make the models comprehensible and show why choosing the wrong model can lead students astray. Carefully constructed exercises in every chapter offer practice in computational skills. Other call for rough estimates and qualitative judgments, so students are forced to come to grips with the concepts instead of mechanically applied formulas. Most sections close with an exercise set; the answers are in the back of the book, often with complete solutions. Chapters also have review exercises, without answers, for homework and tests. Illustrations are in integral part of the exposition. Beginners learn how to read histograms and scatterplots and how to think about these graphics in the context of real problems.
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Add this copy of Statistics, 4th Edition to cart. $10.03, good condition, Sold by Goodwill rated 5.0 out of 5 stars, ships from Brooklyn Park, MN, UNITED STATES, published 2011 by Viva Books.
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New in new dust jacket. International Edition, Brand New, ISBN and Cover same but contents similar to U.S. Edition, Printed in Black & White. End Chapter Exercises may differ. No CD/Access code. Legal to use despite any disclaimer, We ship to PO, APO and FPO adresses in U.S.A. Choose Expedited Shipping for FASTER DELIVERY. Customer Satisfaction Guaranteed.
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This is a very good introductory book to statistics written in plain English instead of formulas. The text is insightful and should be reviewed carefully by anyone who are interested in studying statistics. This is in contrast with many other textbooks which throw formulas at you. Instead of blindly applying formulas, this book really explains well the assumptions that the science of statistics is based on. I am into mathematical statistics for over a year and am familiar with probability theory and the details of probability distributions (at the level of the text book by Hoagg and Craig). Reading this book help me understand the motivation behind why mathematical theories are done the way they are. I would strongly recommend this book to everyone.