Course Details

Quantitative Reasoning in the Law

This lecture and discussion course introduces MSL students to quantitative ideas and techniques that arise in the courtroom through expert testimony. No mathematical background is needed. Topics include chance, descriptive statistics, data collection, hypothesis testing, confidence intervals, statistical significance, elementary probability, selection bias, base rates, error rates, Bayesian reasoning, correlation, causation, and the legal rules for admitting quantitative evidence. Application areas include discrimination claims, trademark studies, racial profiling proof, DNA evidence, medical malpractice cases, and epidemiological evidence. Reading materials (e.g., chapters, cases, newspaper articles, portions of Appellate opinions, etc.) will be posted as PDFs online. Students will be evaluated on the basis of class participation, an original group project, and a short open-book test.

Catalog Number: LAWSTUDY 905-0
Additional Course Information: MSL students only


Course History

Fall 2017
Title: Quantitative Reasoning in the Law
Faculty: Koehler, Jonathan (courses | profile)
Section: 1     Credits: 1.0
Capacity: 30     Actual: 16

Fall 2016
Title: Statistics & Probability
Faculty: Koehler, Jonathan (courses | profile)
Section: 1     Credits: 1.0
Capacity: 24     Actual: 17

Fall 2015
Title: Statistics & Probability
Faculty: Koehler, Jonathan (courses | profile)
Section: 1     Credits: 1.0
Capacity: 20     Actual: 6

Fall 2014
Title: Statistics & Probability
Faculty: Koehler, Jonathan (courses | profile)
Section: 1     Credits: 1.0
Capacity: 15     Actual: 5