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This four (4) day hands-on workshop will acquaint forensic practitioners in non DNA disciplines with statistical methods used in the standard operating procedures now commonly being implemented in forensic labs. The course assumes minimal knowledge of statistics and is designed to be hands-on, with a combination of class discussion and exercises on the computer. It is designed to build attendees’ skill set and confidence in applying the methods that will be discussed. Topics covered will include basic descriptive univariate statistics, the GUM/uncertainty budgets, hypothesis testing, error rate statistics, gauge repeatability and reproducibility, regression for calibration curves, the “likelihood ratio paradigm” and (time permitting) Bayesian networks for forensic scenarios. To the extent possible, techniques will be illustrated with data sets familiar from laboratory practice. Attendees are also encouraged discuss or bring any data they are interested in analyzing for their laboratory. All software used will be open source, freely available, and peer reviewed. Skills learned in this workshop will provide a statistical foundation the practitioner can take back to their laboratory and reproduce on any computer system