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Social Statistics for a Diverse Society
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Social Statistics for a Diverse Society

Eighth Edition
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January 2017 | 544 pages | SAGE Publications, Inc

This Eighth Edition of Social Statistics for a Diverse Society continues to emphasize intuition and common sense, while demonstrating that social science is a constant interplay between methods of inquiry and important social issues. Recognizing that today’s students live in a world of growing diversity and richness of social differences, authors Chava Frankfort-Nachmias and Anna Leon-Guerrero use research examples that show how statistics is a tool for understanding the ways in which race, class, gender, and other categories of experience shape our social world and influence social behavior. In addition, guides for reading and interpreting the research literature help students acquire statistical literacy, while SPSS demonstrations and a rich variety of exercises help them hone their problem-solving skills.

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Preface
 
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

 
Learning Statistics

 
 
CHAPTER 2 • The Organization and Graphic Presentation of Data
Frequency Distributions

 
Proportions and Percentages

 
Percentage Distributions

 
The Construction of Frequency Distributions

 
Cumulative Distributions

 
Rates

 
Reading the Research Literature: Access to Public Benefits

 
Graphic Presentation of Data

 
The Pie Chart

 
The Bar Graph

 
The Histogram

 
The Statistical Map

 
The Line Graph

 
The Time-Series Chart

 
Statistics in Practice: Foreign-Born Population 65 Years and Over

 
 
CHAPTER 3 • Measures of Central Tendency
The Mode

 
The Median

 
The Mean

 
Reading the Research Literature: The Case of Reporting Income

 
Statistics in Practice: The Shape of the Distribution

 
Considerations for Choosing a Measure of Central Tendency

 
 
CHAPTER 4 • Measures of Variability
The Importance of Measuring Variability

 
The Index of Qualitative Variation

 
Statistics in Practice: Diversity in U.S. Society

 
The Range

 
The Interquartile Range

 
The Box Plot

 
The Variance and the Standard Deviation

 
Considerations for Choosing a Measure of Variation

 
Reading the Research Literature: Community College Mentoring

 
 
CHAPTER 5 • 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 6 • 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: A Sampling Lesson

 
 
CHAPTER 7 • 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 8 • 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: Cigarette Use Among Teens

 
Hypothesis Testing With Two Sample Proportions

 
Reading the Research Literature: Reporting the Results of Hypothesis Testing

 
 
CHAPTER 9 • Bivariate Tables
How to Construct a Bivariate Table

 
How to Compute Percentages in a Bivariate Table

 
Reading the Research Literature: Hispanic and Non-Hispanic Homeless Populations

 
The Properties of a Bivariate Relationship

 
Elaboration

 
Reading the Research Literature: The Digital Divide

 
 
CHAPTER 10 • 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 Father 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 11 • 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: Emerging Adulthood

 
 
CHAPTER 12 • 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

 
ANOVA for Multiple Linear Regression

 
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. A Basic Math Review
 
Learning Check Solutions
 
Answers to Odd-Numbered Exercises
 
Glossary
 
Notes
 
Index

Supplements

Instructor Resource Site
  • A Microsoft® Word test bank, is available containing multiple choice and short answer questions for each chapter. The test bank provides you with a diverse range of pre-written options as well as the opportunity for editing any question and/or inserting your own personalized questions to effectively assess students’ progress and understanding.
  • Editable, chapter-specific Microsoft® PowerPoint® slides offer you complete flexibility in easily creating a multimedia presentation for your course. Highlight essential content, features, and artwork from the book.
  • Solutions to all in-text exercises.
  • EXCLUSIVE! Access to certain full-text SAGE journal articles that have been carefully selected for each chapter. Each article supports and expands on the concepts presented in the chapter. This feature also provides questions to focus and guide student interpretation.
  • Combine cutting-edge academic journal scholarship with the topics in your course for a robust classroom experience.
  • Chapter-specific discussion questions help launch classroom interaction by prompting students to engage with the material and by reinforcing important content.
  • Lively and stimulating ideas for class activities that can be used in class to reinforce active learning.

 

Student Study Site
  • mobile-friendly eFlashcards and quizzes to strengthen your understanding of key terms and concepts.
  • a complete online action plan that includes tips and feedback on your progress and allows you to individualize your learning experience.
  • chapter summaries that reinforce the most important material.
  • EXCLUSIVE access to full-text SAGE journal articles—carefully chosen to support and expand on the concepts presented in each chapter.
  • Study questions reinforce key concepts in each chapter for self-review.
  • Web resources are included for further research and insights.
  • Datasets and Codebooks are available for you to use while answering the SPSS exercises in the text.
  • Appendices from the text are included for your reference. 

"Great text with great examples that relate to the diversity/inequality.  Our department has a strong focus on inequality – that is exactly why I use this text.  I have reviewed a lot of other books and this is the only one I would ever assign/use. "

Heather Macpherson Parrott
Long Island University

"We go over the computer-generated SPSS output [in the text] because students are required to take a data analysis course after this course [where they] use SPSS to analyze their own data. So, it is helpful to the students to know what SPSS is and what it looks like."

David A. Gay
University of Central Florida

"The writing style of this book is straightforward, comprehensive, approachable. It does not talk down to the students, but meets them halfway between having high expectations and pandering to them like so many textbooks are doing these days."

Lindsey Peterson
Mississippi State University

The authors are very skilled at introducing students to relevant examples of social scientific literature that utilize the concepts and statistics covered in the text. The book also serves as a great reference tool for interpreting social scientific literature.

Christopher Donoghue
Montclair State University
Key features
NEW TO THIS EDITION:
  • New real world examples and data are drawn from a wide range of sources including news stories, government reports, and scholarly research to help students increase their understanding of both statistics and social issues.
  • New Reading the Research Literature and Statistics in Practice features in numerous chapters introduce discussions on the interpretation of statistical information and/or SPSS output, encouraging students to focus on the meaning and importance of the calculated statistics.
  • New Data at Work boxes profile individuals who use quantitative data and methods on the job.
  • The authors provide two new 2014 General Social Survey SPSS datasets.
  • Chapter 2 now combines material from Chapter 2 (“Organization of Information”) and Chapter 3 (“Graphic Presentation”) in the previous edition.
  • Chapter 5, “Normal Distribution,” includes new in-chapter examples based on SAT data.
  • Chapter 12 includes extended discussion on regression, correlation, and multiple regression.
  • New end-of-chapter exercises utilize data and polling based on current events.

 

KEY FEATURES:
  • An informal writing style–coupled with the use of real-world examples–makes this book more accessible and engaging for students.
  • An emphasis on race, class, gender and other aspects of social diversity sets the book apart from others in the field and mirrors the major emphasis in the social sciences today.
  • Learning Checks keyed to the most important topics are carefully placed in the chapters to aid students’ self-assessment.
  • Statistics In Practice inserts throughout the book show the real-world application of the techniques and concepts introduced.
  • A Closer Look boxes highlight statistical issues that are important for future researchers.
  • Reading the Research Literature sections in most chapters help students read and interpret statistical information in professional and scholarly publications.
  • A wealth of real-world exercises at the end of chapters provide students with opportunities to practice both calculating and interpreting statistics.
  • The text is accompanied by four our SPSS datasets, including a global dataset measuring social, economic and political characteristics of 70 countries.  
  • Answers to odd numbered exercises are provided at the back of the text.
  • Optional SPSS examples and output are used throughout the book in conjunction with General Social Survey data.
  • A demonstration of a related SPSS procedure, along with a set of exercises, appears at the end of each chapter.

Sample Materials & Chapters

Chapter 5

Chapter 12


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