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The Essentials of Statistics: A Tool for Social Research / Edition 3

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Overview

This reader-friendly text presents the essentials of statistics with an applied approach. Author Joseph Healey helps readers develop skills for statistical literacy, emphasizing computational competence and the ability to read social science literature with greater comprehension.

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Editorial Reviews

From the Publisher
"Clear writing, organization, and explanations. I found that the textbook is one of the best I have read so far in terms of the clarity of explanations, particularly the difficult concepts and ideas."

"The Essentials is one of the few actual textbooks I still use. The subject matter of research methods and statistics still requires it. This edition of Healey's book is a 'good' textbook because it is well written, follows a logical sequence within each chapter and from chapter to chapter, and students learn and build a foundation before they move onto the more difficult statistics."

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Product Details

  • ISBN-13: 9781111829568
  • Publisher: Cengage Learning
  • Publication date: 1/30/2012
  • Edition number: 3
  • Pages: 480
  • Sales rank: 269,308
  • Product dimensions: 7.30 (w) x 9.00 (h) x 0.90 (d)

Meet the Author

Joseph F. Healey, Ph.D., is Professor Emeritus of Sociology Christopher Newport University. He is author of STATISTICS: A TOOL FOR SOCIAL RESEARCH, 10th Edition (Cengage, 2014); RACE, ETHNICITY, GENDER AND CLASS, 7th Edition (Sage, 2015); DIVERSITY AND SOCIETY, 4th Edition (Sage, 2014); and is co-author of several other texts. Healey earned his A.B. and M.A. from The College of William and Mary (sociology and anthropology) and Ph.D. from University of Virginia (sociology and anthropology). In his spare time, he plays and records music for the hammer dulcimer and banjo.

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Table of Contents

1. Introduction. Part I: DESCRIPTIVE STATISTICS. 2. Basic Descriptive Statistics: Tables, Percentages, Ratios and Rates, and Graphs. 3. Measures of Central Tendency. 4. Measures of Dispersion. 5. The Normal Curve. Part II: INFERENTIAL STATISTICS. 6. Introduction to Inferential Statistics, the Sampling Distribution, and Estimation. 7. Hypothesis Testing I: The One-Sample Case. 8. Hypothesis Testing II: The Two-Sample Case. 9. Hypothesis Testing III: The Analysis of Variance. 10. Hypothesis Testing IV: Chi Square. Part III: BIVARIATE MEASURES OF ASSOCIATION. 11. Bivariate Association for Nominal- and Ordinal-Level Variables. 12, Association Between Variables Measured at the Interval-Ratio Level.

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