Statistics and Data Analysis for Social Science is an accessible introduction to statistical concepts and calculations used in the social sciences that emphasizes simplicity, quality, and depth of understanding over complexity, quantity, and breadth of coverage. At 10 chapters, it covers fewer statistics overall that many comparable texts and focuses on the most understandable techniques and methods for computing statistics.

Key Features
> Frequent use of step-by-step, worked-out examples
> Numerous tables and charts that show what data " look like" in visual and graphical terms
> A review of basic mathematics integrated into the chapters
> Short practices set distributed throughout the chapters, in addition to end-of-chapter exercise sets

Every chapter in texts is written around and applied to a different social problem or issue (educational achievements. toxic waste sites, income inequality, global warming, energy consumption, etc.) to emphasize the practical application of statistics. 

1. Concepts, Variables, and Measurement
2. Frequency Tables
3. Measures of Central Tendency
4. Measures of Dispersion
5. Probability and the Normal Cube
6. Probability-From Samples to Statistics
7. Cross-tabulation and Chi-Square
8. Measures of Association for Categorical Variables
9. Analysis of Variance
10. Correlation and Regression 

Note: Include references, glossary and index.