Statistics: A Tool for Social Research / Edition 10 available in Hardcover
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.
About 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.
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.