ISBN-10:
148333354X
ISBN-13:
2901483333549
Pub. Date:
01/14/2014
Publisher:
SAGE Publications
Social Statistics for a Diverse Society / Edition 7

Social Statistics for a Diverse Society / Edition 7

by Chava Frankfort-Nachmias

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Overview

Social Statistics for a Diverse Society / Edition 7

Adopted at a wide range of schools across the country, from Eastern Kentucky University, to the University of Michigan, to Bismarck State College, to Northwestern University! Features of this new edition include the following... *Consistently throughout the book, discussion of statistical techniques and concepts has been edited and streamlined, and the overall presentation is tighter. *The majority of GSS94 chapter examples have been updated to GSS96. All Census data has been updated to 1998 sources. *Chapters 13 and 14 have been revised and combined into one chapter. The concept of critical value of t has been eliminated, as well as one sample Z-test. Assessment of the probability of obtained t-test has been introduced, and the 6 step model has been modified to a 5 step model. *Additional end of chapter exercises have been added, on topics such as international data, criminal justice, and the elderly. *New and revised SPSS end of chapter exercises have been modified to fit GSS96 datasets. *Two modules or subsets have been created in the GSS96 Datasets for SPSS Exercises -- one for family/women's issues; the other for diversity/race issues."Not only shows how integrating issues of diversity can be done in a way that furthers the traditional objectives of statistics courses, but also in a way that makes science a warmer classroom and career climate for women and students of color. This book is pathbreaking." Kate Berheide, Skidmore College "The exercises are excellent; I consider them a particular strength of the text. Plus the use of real examples gives relevancy and meaning to the concepts." Holly S. Gimpel, Saint Joseph's College

Product Details

ISBN-13: 2901483333549
Publisher: SAGE Publications
Publication date: 01/14/2014
Edition description: Seventh Edition
Pages: 592
Product dimensions: 7.30(w) x 9.00(h) x 1.10(d)

About the Author

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. She is also the coauthor (with Anna Leon-Guerrero) of Social Statistics for a Diverse Society.


Anna Leon-Guerrero is a professor of sociology at Pacific Lutheran University in Tacoma, Washington. A recipient of the university’s Faculty Excellence Award and the K. T. Tang Award for Excellence in Research, she teaches courses on statistics, sociological theory, and social problems. As a social service program evaluator and consultant, she has focused her research on welfare reform, employment strategies for the working poor, and program assessment. She is the coauthor of Social Statistics for a Diverse Society and Essentials of Social Statistics for a Diverse Society (with Chava Frankfort-Nachmias).

Table of Contents

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

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