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Learning to Live with Statistics: From Concept to Practice

David Asquith
Learning to Live with Statistics: From Concept to Practice
ISBN: 978-1-58826-524-1
$95.00
ISBN: 978-1-58826-549-4
$45.00
2008/379 pages/LC: 2007031084

"Very clear.... The well-posed problems are indicative of the chapter material.... Provides a good comprehensive introduction to the subject for liberal arts, education, and social science undergraduates and graduate students."—Choice

"Thorough and accessible.... The straightforward explanations and emphasis on practical applications are well designed to help students learn the subject."—Francis Neely, San Francisco State University

"Combining 'big picture' and technical discussions, and providing numerous examples that will help students to understand statistical concepts, this introductory text will appeal to a wide audience."—Mary C. Noonan, University of Iowa

DESCRIPTION

Is it possible to demystify statistics? Can math phobia be overcome? Perhaps surprisingly, the answer is yes. Learning to Live with Statistics, based on years of teaching experience, explains basic statistical concepts and procedures in a straightforward, digestible way. Using familiar examples that highlight the relevance of the subject to everyday life, David Asquith provides clear guidelines for defining statistical problems and choosing the right tools for solving them. The result is a student-friendly text that explains how to do statistics, and how to understand the results.

Practice exercises illustrate each of the techniques covered, and answers are provided for more than half of the exercises. The text also includes reference tables and a glossary. asso

ABOUT THE AUTHOR

David Asquith is professor emeritus of sociology at San Jose State University.

CONTENTS

  • Beginning Concepts.
  • Getting Started: Descriptive Statistics.
  • Probability: A Foundation for Statistical Decisions.
  • Describing a Population: Estimation with a Single Sample.
  • Testing a Hypothesis: Is Your Sample a Rare Case?
  • Estimates and Tests with Two Samples: Identifying Differences.
  • Exploring Ranks and Categories.
  • Analysis of Variance: Do Multiple Samples Differ?
  • X and Y Together: Correlation and Prediction.
  • Glossary
  • Appendixes: Reference Tables.
  • Answers and Hints to Selected Exercises.
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