"Web Resources for Interactive Probability Instruction"
Dennis Pearl, The Ohio State University; Ivo Dinov, University of Michigan; and Kyle Siegrist, University of Alabama
Abstract
This two-hour virtual workshop will introduce participants to novel web-based technologies for blended teaching of applied probability theory and computational statistics. The presenters will discuss the Probability Distributome webapps (www.Distributome.org), classroom use of the Virtual Laboratories in Probability and Statistics (www.math.uah.edu/stat), and exploratory data analytics using the Statistics Online Computational Resource (www.SOCR.umich.edu). Participants will engage in examples of hands-on demonstrations include data modeling, exploring of properties of probability distributions and inter-distributional relationships, resampling and simulation, dynamic data plots, and model fitting. These topics and techniques are suitable for engineering and upper division applied probability courses and for statistical methods courses. The workshop is designed to be accessible to those with little or no computational background, and will provide you with skills, examples, and resources that you can use in your own teaching.
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