Discusses statistics, focusing on data, statistical inference and practical versus statistical significance. Certain significant cases, such as McCleskey v Kemp and State v Soto are touched upon.
Alison Weir, PhD, is an associate professor, teaching stream statistics at the University of Toronto Mississauga (UTM). She obtained her bachelor of mathematics from the University of Waterloo, her master of science degree in statistics from the University of London, UK, and her doctor of philosophy degree in statistics from the University of Toronto. Her interests include applied statistics, particularly modern non-parametric methodologies. She is also interested in statistical literacy, an increasingly important advantage for professionals operating in today’s technological data-heavy world. Dr. Weir designed and implemented a UTM course in statistics for forensic sciences and she has helped numerous forensic science students with their fourth-year projects. Dr. Weir has a passion for assisting lawyers in understanding the statistics underlying the forensic sciences. She enjoys working as a consultant and hopes that her future work with legal professionals will help to strengthen statistical literacy in the court system.