1. The Art of Combining Statistics with the Law (Andrew L. Luna)
It is important to understand the court structure, jurisdiction, and legal jurisprudence behind case law and how the science of statistics can and should be used within the legal environment.

2. The Use of Data in Affirmative Action Litigation (Michael S. Harris, John H. Roth)
This chapter focuses on the role of institutional research in enrollment management since the U.S. Supreme Court’s decision in the University of Michigan affirmative action cases.

3. Statistical Evidence and Compliance with Title IX (John J. Cheslock, Suzanne E. Eckes)
All college athletic programs have been affected by Title IX in some way. This chapter offers insights into the role of statistical evidence in demonstrating compliance with the law, as well as important considerations often missing from the Title IX policy debate.

4. Organization and Maintenance of Data in Employment Discrimination Litigation (Bruce A. Christenson, Kathleen M. Maher, Lorin M. Mueller)
This chapter addresses the role of personnel system data in addressing allegations in employment discrimination cases. It describes the types of data that are frequently relevant in assessing allegation of discrimination regarding personnel actions.

5. Analyzing Personnel Selection Decisions in Employment Discrimination Litigation Settings (Lorin M. Mueller, Eric M. Dunleavy, Ash K. Buonasera)
This chapter examines how employee selection, promotion, and termination should be analyzed in employment discrimination litigation and how statistics can be used to analyze applicant flow data.

6. Regression Analysis: Legal Applications in Institutional Research (Julie A. Frizell, Benjamin S. Shippen Jr., Andrew L. Luna)
Regression analysis has played a significant role in college and university discrimination cases. The chapter examines this statistical tool and how compensation outcomes should be analyzed in employment discrimination litigation.

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