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Statistical Evidence in the Courtroom: Assumptions, Misconceptions, and Responsibilities FJI 2023

Product ID: CA3457W
Presented By: State Bar of Wisconsin PINNACLE

Non-scientists are often unfamiliar with the assumptions, subtleties, and limitations of expert testimony that includes statistics and probabilities. This creates a risk that the probative value of such evidence will be misjudged by lawyers, judges, and jurors. Identify the problems associated with commonly proffered statistical evidence and discuss strategies for effectively communicating such evidence in the courtroom.

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OnDemand seminar

Pricing

Member $129.00

Non-Member $129.00

Credits

1.5 CLE

Date and Time

Monday, January 30, 202312:00 PM - 1:30 PM CT

Add to Calendar 1/30/2023 12:00:00 PM 1/30/2023 1:30:00 PM America/Chicago Statistical Evidence in the Courtroom: Assumptions, Misconceptions, and Responsibilities FJI 2023

Non-scientists are often unfamiliar with the assumptions, subtleties, and limitations of expert testimony that includes statistics and probabilities. This creates a risk that the probative value of such evidence will be misjudged by lawyers, judges, and jurors. Identify the problems associated with commonly proffered statistical evidence and discuss strategies for effectively communicating such evidence in the courtroom.

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Non-scientists are often unfamiliar with the assumptions, subtleties, and limitations of expert testimony that includes statistics and probabilities. This creates a risk that the probative value of such evidence will be misjudged by lawyers, judges, and jurors. Identify the problems associated with commonly proffered statistical evidence and discuss strategies for effectively communicating such evidence in the courtroom.

Read More ↓

Professor Jonathon "Jay" Koehler has a doctorate in Behavioral Sciences (Committee on Research Methodology and Quantitative Psychology) from the University of Chicago. Prior to joining Northwestern University as a law professor in 2010, he was a professor at Arizona State University (business and law schools, 2007-2009) and a University Distinguished Teaching Professor at the University of Texas at Austin (business school, 1990-2007). He currently teaches evidence, statistics, and forensic science.  His research interests include judgment and decision making, quantitative reasoning in the courtroom, and forensic science.

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