# Essentials of Social Statistics for a Diverse Society

- Anna Leon-Guerrero - Pacific Lutheran University
- Chava Frankfort-Nachmias - University of Wisconsin, Milwaukee, USA

Proud sponsor of the 2019 SAGE Keith Roberts Teaching Innovations Award—enabling graduate students and early career faculty to attend the annual ASA pre-conference teaching and learning workshop.**
Essentials of Social Statistics for a Diverse Society, ** is a more streamlined, less expensive version of the successful

*Third Edition*,

*Social Statistics for a Diverse Society*. As in the parent text, the

**Essentials**version does more than introduce students to the statistical techniques used by social scientists. It is distinct for the use of real data from contemporary social issues, illustrating the interplay between social concerns and methods of inquiry, and for a strong emphasis on race, class, gender, and other statuses to show how statistics can be a tool for understanding the richness of social differences within society. With a wide range of examples and exercises taken from current events and published research, frequent illustrations, and a focus on student learning, this book continues to be an accessible and engaging resource for students.

“I think this textbook is incredibly readable. It presents statistics in a manner that is easy to grasp and comprehend but is still rigorous in terms of the content covered.”

—Amy Lucas, *University of Houston–Clear Lake*

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**IBM SPSS Statistics ^{©} version 23**

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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 |

Frequency Distributions |

Proportions and Percentages |

Percentage Distributions |

The Construction of Frequency Distributions |

Cumulative Distributions |

Rates |

Bivariate Tables |

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 |

Reading the Research Literature: The Digital Divide |

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 |

The Importance of Measuring Variability |

The Index of Qualitative Variation |

Statistics in Practice: Diversity in U.S. Society |

The Range |

The Interquartile Range |

The Variance and the Standard Deviation |

Considerations for Choosing a Measure of Variation |

Reading the Research Literature: Community College Mentoring |

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 |

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 |

Point and Interval Estimation |

Confidence Intervals for Means |

Confidence Intervals for Proportions |

Reading the Research Literature: Women Victims of Intimate Violence |

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 |

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 |

Cramer’s V: A Chi-Square–Related Measure of Association for Nominal Variables |

Reading the Research Literature: India’s Internet-Using Population |

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 |

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 |