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Overview

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.

Joseph F. Healey, Christopher Newport University

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.
  • Ensuring students gain a thorough understanding, the all-new “Using SPSS” feature demonstrates how to generate and interpret the statistics in the chapter and features SPSS screen shots.
  • A primary goal of the Tenth Edition is to provide more examples of everyday applications of statistics and highlight the relevance of statistics in the real world. The new “Using Statistics” feature at the beginning of each chapter walks students step by step through the process of applying statistics to real-world social issues.
  • Completely up to date, the new Tenth Edition reflects the latest practices, research, and developments from the field. Data sets used for examples and end-of-chapter problems have been updated.
  • Now more streamlined, the Tenth Edition combines the former Chapters 12 and 13 into a single Chapter 12, “Bivariate Association For Nominal- and Ordinal-Level Variables”.
  • Because math anxiety is a common and often serious problem for many students, the text provides a substantial math review section, including a self-test, to help students hone skills required for the course and gain confidence in their own ability to master the material.
  • Streamlined content and a student-friendly page design make the text more approachable and less intimidating for students with math anxiety, as well as more enjoyable for all students and instructors.
  • Overviews for each section of the text clarify the organization, preview the content and key concepts, and help students understand why the material is covered. Extensive problem sets at the end of each chapter and multi-chapter cumulative exercises help students review key concepts and operations.
  • Almost all end-of-chapter problems are labeled by the social science discipline or discipline from which they are drawn: SOC for sociology, SW for social work, PS for political science, CJ for criminal justice, PA for public administration, and GER for gerontology. By identifying problems with specific disciplines, students can more easily see the relevance of statistics to their own academic interests. They will also see that the disciplines have a large subject matter in common.
  • All end-of-chapter problem sections include SPSS problems.
  • The text explores the role of statistics in social science research, including how to select an appropriate method for a specific problem and data set as well as how to analyze the statistical results. All problem examples are presented in the context of social research.
  • “Interpreting Statistics” sections provide non-computational examples demonstrating the application of statistical analysis to real research problems.
  • “Reading Statistics” boxes introduce students to professional literature and ways social scientists apply and interpret statistics.
  • Extremely readable and easy to use, STATISTICS: A TOOL FOR SOCIAL RESEARCH is known for its student-friendly presentation.
  • Included in every chapter, the “Statistics in Everyday Life” feature provides examples of the relevance and usefulness of statistics in a wide variety of situations, ranging from telephone solicitations to the effect of the Internet on the crime of rape. These examples of everyday applications of statistics demonstrate to students that statistics are not just abstract mathematical constructs but have practical value in the real world of government, education, business, media, politics, sports, and more.
  • End-of-chapter SPSS exercises equip students with hands-on experience, requiring them to be actively involved in the exercises, stating research questions, selecting appropriate variables, and interpreting results.
  • Interpretation is emphasized throughout the text.
  • “One Step at a Time” features present at-a-glance computational procedures for each statistic, making it easy for students to immediately apply their knowledge and appreciate the practical value of the material.
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.
MindTap
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Aplia
Aplia is an online learning solution that increases student engagement with automatically graded assignments and detailed explanations.

This Cengage solution can be seamlessly integrated into most Learning Management Systems (Blackboard, Brightspace by D2L, Canvas, Moodle, and more) but does require a different ISBN for access codes. Please work with your Cengage Learning Consultant to ensure the proper course set up and ordering information. For additional information, please visit the LMS Integration site.

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Cengage provides a range of supplements that are updated in coordination with the main title selection. For more information about these supplements, contact your Learning Consultant.

FOR INSTRUCTORS

Online Instructor's Manual

ISBN: 9781285742656
This fully updated and revised supplement contains a chapter summary and learning objectives and details what is new in the tenth edition of the textbook. The instructor’s manual is available for download on the instructor companion website.

Online Test Bank

ISBN: 9781285742687
This fully updated and revised supplement contains forty-five to fifty-five multiple choice and three to four essay questions per chapter. The test bank is available for download on the instructor companion website.

Online PowerPoint®

ISBN: 9781285742670
Aplia™ is an online interactive learning solution that helps students improve their comprehension-and their grade-by integrating a variety of tools such as video, tutorials, practice tests, and an interactive eBook.

Cengage Learning Testing, powered by Cognero Instant Access

ISBN: 9781285979137
Cengage Learning Testing powered by Cognero is a flexible, online system that allows you to import, edit, and manipulate test bank content from the Statistics test bank or elsewhere, including your own favorite test questions; create multiple test versions in an instant; and deliver tests from your LMS, your classroom, or wherever you want.