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

Eighth Edition
Experience with SAGE edge


January 2017 | 480 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. 
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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ISBN: 9781506347202