"Introduction to Social Statistics" is a basic statistics text with a focus on the use of models for thinking through statistical problems, an accessible and consistent structure with ongoing examples across chapters, and an emphasis on the tools most commonly used in contemporary research. It is a lively introductory textbook that uses three strategies to help students master statistics: use of models throughout; repetition with variation to underpin pedagogy; and, emphasis on the tools most commonly used in contemporary research. It demonstrates how more than one statistical method can be used to approach a research question. Enhanced learning features include a 'walk-through' of statistical concepts, applications, features, advanced topics boxes, and a 'What Have We Learned' section at the end of each chapter. The book is supported by a website containing instructor materials including chapter-by-chapter PowerPoint slides, answers to exercises, and an instructor guide.
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Preface: A Strategy for Approaching Quantitative Analysis
1 An Introduction to Quantitative Analysis 1
2 Some Basic Concepts 33
3 Displaying Data One Variable at a Time 65
4 Describing Data 115
5 Plotting Relationships and Conditional Distributions 155
6 Causation and Models of Causal Effects 182
7 Probability 218
8 Sampling Distributions and Inference 255
9 Using Sampling Distributions: Confidence Intervals 295
10 Using Sampling Distributions: Hypothesis Tests 319
11 The Subtle Logic of Analysis of Variance 363
12 Goodness of Fit and Models of Frequency Tables 396
13 Bivariate Regression and Correlation 435
14 Basics of Multiple Regression 476
Appendix A Summary of Variables in Examples 513
Appendix B Mathematics Review 520
Appendix C Statistical Tables 526
Glossary of Key Terms 534
