Essentials of Social Statistics for a Diverse Society

Essentials of Social Statistics for a Diverse Society is a briefer version of the successful Social Statistics for a Diverse Society, and as in the parent text, the use of real data about contemporary social issues sets this book apart from others in the field. The text explains how to compute and interpret basic descriptive and inferential statistics while teaching and reinforcing important sociological concepts. In every chapter, the authors demonstrate how statistics is an important tool for studying and understanding the role of race, class, gender, and other statuses in a pluralistic society like the United States. Included with this title: The password-protected Instructor Resource Site (formally known as SAGE Edge) offers access to all text-specific resources, including a test bank and editable, chapter-specific PowerPoint® slides.

Table of Contents:
Preface Acknowledgments About the Authors Chapter 1: The What and the Why of Statistics The Research Process Asking Research Questions The Role of Theory Formulating the Hypotheses Collecting Data Analyzing Data and Evaluating the Hypotheses Examining a Diverse Society Chapter 2: The Organization and Graphic Presentation of Data Frequency Distributions Proportions and Percentages Percentage Distributions The Construction of Frequency Distributions Cumulative Distributions Rates Bivariate Tables How to Construct a Bivariate Table How to Compute Percentages in a Bivariate Table Graphic Presentation of Data The Pie Chart The Bar Graph The Histogram The Line Graph The Time-Series Chart Statistics in Practice: Foreign-Born Population 65 Years and Over Chapter 3: Measures of Central Tendency and Variability Measures of Central Tendency Measures of Variability Chapter 4: The Normal Distribution Properties of the Normal Distribution An Application of the Normal Curve The Standard Normal Distribution The Standard Normal Table Reading the Research Literature: Child Health and Academic Achievement Chapter 5: Sampling and Sampling Distributions Aims of Sampling Basic Probability Principles Probability Sampling The Concept of the Sampling Distribution The Sampling Distribution of the Mean The Central Limit Theorem Statistics in Practice: The 2016 U.S. Presidential Election Chapter 6: Estimation Point and Interval Estimation Confidence Intervals for Means Statistics in Practice: Hispanic Migration and Earnings Confidence Intervals for Proportions Reading the Research Literature: Women Victims of Intimate Violence Chapter 7: Testing Hypotheses Assumptions of Statistical Hypothesis Testing Stating the Research and Null Hypotheses Probability Values and Alpha The Five Steps in Hypothesis Testing: A Summary Errors in Hypothesis Testing Hypothesis Testing With One Sample and Population Variance Unknown Hypothesis Testing With Two Sample Means The Sampling Distribution of the Difference Between Means The Five Steps in Hypothesis Testing About Difference Between Means: A Summary Statistics in Practice: Vape Use Among Teens Hypothesis Testing With Two Sample Proportions Reading the Research Literature: Reporting the Results of Hypothesis Testing Chapter 8: The Chi-Square Test and Measures of Association The Concept of Chi-Square as a Statistical Test The Concept of Statistical Independence The Structure of Hypothesis Testing With Chi-Square Statistics in Practice: Respondent and Mother Education Proportional Reduction of Error Lambda: A Measure of Association for Nominal Variables Cramer’s V: A Chi-Square-Related Measure of Association for Nominal Variables Gamma and Kendall’s Tau-b: Symmetrical Measures of Association for Ordinal Variables Reading the Research Literature: India’s Internet-Using Population Chapter 9: Analysis of Variance Understanding Analysis of Variance The Structure of Hypothesis Testing With ANOVA The Five Steps in Hypothesis Testing: A Summary Statistics in Practice: The Ethical Consumer Reading the Research Literature: College Satisfaction Among Latino Students Chapter 10: Regression and Correlation The Scatter Diagram Linear Relationships and Prediction Rules A Negative Relationship: Age and Internet Hours per Week Methods for Assessing the Accuracy of Predictions Testing the Significance of r2 Using ANOVA Statistics in Practice: Multiple Regression and ANOVA Reading the Research Literature: Academic Intentions and Support Appendix A. Table of Random Numbers Appendix B. The Standard Normal Table Appendix C. Distribution of t Appendix D. Distribution of Chi-Square Appendix E. Distribution of F Appendix F. Basic Math Review (on the website*) Learning Check Solutions Answers to Odd-Numbered Exercises Glossary Notes Index

About the Author :
Anna Leon-Guerrero is Professor of Sociology at Pacific Lutheran University in Washington. She received her PhD in sociology from the University of California–Los Angeles. She was the recipient of the university’s Faculty Excellence Award and the K. T. Tang Award for Excellence. She is the author of and Social Problems: Community, Policy, and Social Action, 7th Edition, and co-author (with Chava Frankfort-Nachmias and Georgiann Davis) of Social Statistics for a Diverse Society, 10th Edition (both with Sage).  Chava Frankfort-Nachmias is an Emeritus Professor of Sociology at the University of Wisconsin–Milwaukee. She is the coauthor of Research Methods in the Social Sciences (with David Nachmias), coeditor of Sappho in the Holy Land (with Erella Shadmi), and numerous publications on ethnicity and development, urban revitalization, science and gender, and women in Israel. She was the recipient of the University of Wisconsin System teaching improvement grant on integrating race, ethnicity, and gender into the social statistics and research methods curriculum. Georgiann Davis is Associate Professor of Sociology at the University of New Mexico. An award-winning instructor, researcher, and scholar-activist, she received her PhD in sociology from the University of Illinois at Chicago. She is the author of Contesting Intersex: The Dubious Diagnosis.