"Interactive Teaching of Probability Distributions Theory and Applications using Data, Models and Webapps"
with Ivo Dinov, UCLA; Kyle Siegrist, University of Alabama; and Dennis Pearl, Ohio State University
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What are efficient, engaging, and modern pedagogical techniques to teach probability theory and applications that leave lasting impressions on learners? The probability Distributome project has developed portable, browser-accessible and extensible resources including:
- Computing probability and critical values for a wide array of distributions
- Exploring probability distribution properties and inter-distributional relations
- Fitting probability distribution models to data
- Virtual resampling and simulation experiments
- Integrated data, web-applications and learning-activities
We will show some of the Distributome web-resources (distributome.org/meetings/eCOTS_2012) and discuss best practices for integrating these tools, web-applications, activities and learning materials in probability and statistics curricula.