Essential Statistics, Regression, and Econometrics - 2nd Edition - ISBN: 9780128034590, 9780128034927

Essential Statistics, Regression, and Econometrics

2nd Edition

Authors: Gary Smith
eBook ISBN: 9780128034927
Hardcover ISBN: 9780128034590
Imprint: Academic Press
Published Date: 26th June 2015
Page Count: 396
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Description

Essential Statistics, Regression, and Econometrics, Second Edition, 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.

Key Features

  • Includes hundreds of updated and new, real-world examples to engage students in the meaning and impact of statistics
  • Focuses on essential information to enable students to develop their own statistical reasoning
  • Ideal for one-quarter or one-semester courses taught in economics, business, finance, politics, sociology, and psychology departments, as well as in law and medical schools
  • Accompanied by an ancillary website with an instructors solutions manual, student solutions manual and supplementing chapters

Readership

Undergraduate and graduate students taking Econometrics or Regression courses - required in many economics, business, finance, politics, sociology, and psychology departments, as well as in some law and medical schools.

Table of Contents

  1. Data, Data, Data
    2. Displaying Data
    3. Descriptive Statistics
    4. Probability
    5. Sampling
    6. Estimation
    7. Hypothesis Testing
    8. Simple Regression
    9. The Art of Regression Analysis
    10. Multiple Regression
    11. Modeling

Details

No. of pages:
396
Language:
English
Copyright:
© Academic Press 2015
Published:
Imprint:
Academic Press
eBook ISBN:
9780128034927
Hardcover ISBN:
9780128034590

About the Author

Gary Smith

Gary Smith

Gary Smith received his B.S. in Mathematics from Harvey Mudd College and his PhD in Economics from Yale University. He was an Assistant Professor of Economics at Yale University for seven years. He is currently the Fletcher Jones Professor of Economics at Pomona College. He has won two teaching awards and has written (or co-authored) seventy-five academic papers, eight college textbooks, and two trade books (most recently, Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie With Statistics, Overlook/Duckworth, 2014). His research has been featured in various media including the New York Times, Wall Street Journal, Motley Fool, NewsWeek and BusinessWeek. For more information visit www.garysmithn.com.

Affiliations and Expertise

Fletcher Jones Professor, Department of Economics, Pomona College, Claremont, CA, USA

Reviews

"It is very well written, and covers the basics clearly and understandably to someone with only high school algebra — nothing more advanced is needed." --MAA Reviews

"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..." --The Gazette

"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." --Gazette of the Australian Mathematical Society