图书简介
Essentials of Social Statistics for a Diverse Society 3/e illustrates the context of diversity through the use of real data in examples from contemporary social issues. The book is illustrated and includes fascinating examples and exercises, along with a focus on student learning.
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 \\ 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 \\ 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 \\ 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 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 Distribution \\ 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 \\ 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. 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 \\ Cramer’s V: A Chi-Square–Related Measure of Association for Nominal Variables \\ Reading the Research Literature: India’s Internet-Using Population \\ CHAPTER 10. 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 11. 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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