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Essential Statistics, Regression, and Econometrics - 2nd Edition by Gary Smith (Hardcover)

Essential Statistics, Regression, and Econometrics - 2nd Edition by  Gary Smith (Hardcover)
Store: Target
Last Price: 110.00 USD

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<p/><br></br><p><b> Book Synopsis </b></p></br></br><i>Essential Statistics, Regression, and Econometrics, Second Edition, </i> is innovative in its focus on preparing students for regression/econometrics, and in its extended emphasis on statistical reasoning, real data, pitfalls in data analysis, and modeling issues. This book is uncommonly approachable and easy to use, with extensive word problems that emphasize intuition and understanding. Too many students mistakenly believe that statistics courses are too abstract, mathematical, and tedious to be useful or interesting. To demonstrate the power, elegance, and even beauty of statistical reasoning, this book provides hundreds of new and updated interesting and relevant examples, and discusses not only the uses but also the abuses of statistics. The examples are drawn from many areas to show that statistical reasoning is not an irrelevant abstraction, but an important part of everyday life<p/><br></br><p><b> Review Quotes </b></p></br></br><br><p>It is very well written, and covers the basics clearly and understandably to someone with only high school algebra -- nothing more advanced is needed. --<b>MAA Reviews</b></p> <p>I can wholeheartedly recommend this book as an introductory book for a statistics course taught to early undergraduate economics students. It is clear and well-written and contains a wealth of interesting examples, exercises, and historical anecdotes. The author has done an excellent job... <b>--The Gazette</b></p> <p>I can wholeheartedly recommend this book as an introductory book for a statistics course taught to early undergraduate economics students. It is clear and well-written and contains a wealth of interesting examples, exercises, and historical anecdotes. The author has done an excellent job in elucidating statistical methods in an econometric context. --<b>Gazette of the Australian Mathematical Society</b></p><br>

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