Statistics: A Tool for Social Research / Edition 10

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Packed with everyday examples of statistics in the real world, STATISTICS: A TOOL FOR SOCIAL RESEARCH, 10e, provides a reader-friendly introduction to the fundamental concepts of statistics and their practical application to a wide variety of contemporary social issues. Using myriad examples of statistics from daily life, the text demonstrates that statistics are not just abstract mathematical constructs but have practical value in government, education, business, media, politics, sports, and much more. STATISTICS helps you understand the importance of statistical fundamentals in research without requiring advanced mathematical knowledge. It supports effective learning for both math-averse beginners as well as more advanced students in diverse social science disciplines. Focusing on the application of computational research in favor of the computations themselves, the text fully integrates with the most current version of IBM's SPSS software and labels end-of-chapter SPSS problems by the discipline from which they are drawn. The author breaks down even the most complex material to help you master key concepts and develop the skills you need to succeed as a professional in a social science field-or simply to become a "statistically literate" consumer of social research.

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Editorial Reviews

This text offers a nontechnical introduction to statistics for students of sociology, social work, criminal justice, political science, and other social sciences. Material is written at a level intermediate between a strictly mathematical approach and a "cookbook" approach, with an emphasis on interpretation and computer applications. Learning features include practice exercises and problems, applications of SPSS and MicroCase statistical software packages (new to this edition), and step-by-step computational algorithms provided for each statistic. Boxed readings offer examples that connect statistical analysis to research problems. For this edition, challenging problems with larger data sets have been moved to a Web site. The author teaches at Christopher Newport University. Annotation c. Book News, Inc., Portland, OR (
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Product Details

  • ISBN-13: 9781285458854
  • Publisher: Cengage Learning
  • Publication date: 1/20/2014
  • Edition description: New Edition
  • Edition number: 10
  • Pages: 544
  • Sales rank: 1,191,567
  • Product dimensions: 7.50 (w) x 9.20 (h) x 1.10 (d)

Meet the Author

Joseph F. Healey, Ph.D., is Professor Emeritus of Sociology at Christopher Newport University. He is author of THE ESSENTIALS OF STATISTICS: A TOOL FOR SOCIAL RESEARCH, Third Edition (Cengage Learning, 2013); DIVERSITY AND SOCIETY, Fourth Edition (Sage, 2012); RACE, ETHNICITY, GENDER AND CLASS, Sixth Edition (Pine Forge Press, 2010). He is also co-editor with York Bradshaw of SOCIOLOGY FOR A NEW CENTURY (Pine Forge, 2001) and co-author with Earl Babbie and Fred Halley of EXPLORING SOCIAL ISSUES: USING SPSS FOR WINDOWS (Sage, 2009). Dr. 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 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: Sampling and the Sampling Distribution. 7. Estimation Procedures. 8. Hypothesis Testing I: The One-Sample Case. 9. Hypothesis Testing II: The Two-Sample Case. 10. Hypothesis Testing III: The Analysis of Variance. 11. Hypothesis Testing IV: Chi Square. PART III BIVARIATE MEASURES OF ASSOCIATION. 12. Bivariate Association for Nominal- and Ordinal-Level Variables. 13. Association Between Variables Measured at the Interval-Ratio Level. PART IV: MULTIVARIATE TECHNIQUES. 14. Elaborating Bivariate Tables. 15. Partial Correlation and Multiple Regression and Correlation. Appendix A: Area Under the Normal Curve. Appendix B: Distribution of t. Appendix C: Distribution of Chi Square. Appendix D: Distribution of F.

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