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The Statistics of Discrimination: Using Statistical Evidence in Discrimination Cases provides the background in statistical analysis needed to apply such analysis to evolving areas of discrimination law. It discusses the models developed to prove discrimination and introduces statistical reasoning. The text explores how statistical analysis is used by focusing on Title VII employment discrimination cases.
It also focuses on both the individual and the systematic disparate treatment models and gives a clear and practical explanation of disparate impact. Citations to hundreds of cases in which statistical analysis was used to prove discrimination are included. This volume contains sufficient background in statistical analysis to comprehend, assess, and use the numbers to your advantage. It's useful for attorneys, judges, professors, or policy makers in employment law.