Logistics

• Timer, Place, Venue: November 27, 2012 (Tuesday, 2:30 PM Eastern Time). Virtual webinar.
• Presenters: Ivo Dinov (SOCR/UCLA), Dennis Pearl (MBI/OSU) and Kyle Siegrist (UAH/VLPS)
  
• Join the Meeting: See CAUSEWeb Webinars
  

Abstract
There is a need for modern, efficient, and engaging pedagogical techniques for enhancing the teaching of probability theory, and its 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 and discuss best practices for integrating these tools, web-applications, activities and learning materials in probability and statistics curricula.

Agenda

• Introductions and opening slides (PPTX)
  
• What is the Distributome Project?
  
• Distributome Website: as an open-access and open-development  resource
• Distributome Navigator (exploring probability distribution properties and inter-distributional relations)
• Distributome Tools
• Calculators (computing probability and critical values for a wide array of distributions)
• Interactive Experiments
• Virtual Simulations
  
• Distributome as an educational resource: Distributome Activities
  
• Open Discussion/Community Feedback
• Community contributions on expanding the Distributome activities, Database, curricular utilization and validation are always welcome (email )
• Technical foundations: XML meta-data (DB), HTML DB Validator, XSD schema, Distributome LGPL-licensed source code

Acknowledgments
The Distributome project is funded in part by the National Science Foundation (NSF) grants 1023115, 1022560, and 1022636.