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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Seller's Description:
Good. Good condition. Good dust jacket. 2nd edition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains. Bundled media such as CDs, DVDs, floppy disks or access codes may not be included.
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Very good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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.
