The updated edition of this classic text introduces a range of techniques for exploring quantitative data. Beginning with an emphasis on descriptive statistics and graphical approaches, it moves on in later chapters to simple strategies for examining the associations between variables using inferential statistics such as chi squared.

Includes bibliographical references (p. [293]-298) and index.

Part I: Single Variables. 1. Distribution Variables. 2. Numerical Summaries of Level and Spread. 3. Scaling and Standardising. 4. Inequality. 5. Smoothing Time Series. Part II: Relationships between Two Variables. 6. Percentage Tables. 7. Analysing Contingency Tables. 8. Handling Several Batches. 9. Scatterplots and Resistant Lines. 10. Transformations. Part III: Introducing a Third Variable. 11. Causal Explanations. 12. Three-Variable Contingency Tables and Beyond. 13. Longitudinal Data.