Abstract #301479


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JSM 2001 Abstract #301479
Activity Number: 303
Type: Contributed
Date/Time: Wednesday, August 8, 2001 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Education*
Abstract - #301479
Title: Enhanced Learning in Probability and Statistics via Symbolic Computing and Internet Technologies
Author(s): Brian Jones*+ and Bradley Hartlaub and Zaven Karian
Affiliation(s): Kenyon College and Kenyon College and Denison University
Address: 5600 Greenfield Drive, Galena, Ohio, 43021,
Keywords: symbolic computing ; animation ; probability
Abstract:

The authors have written several activity modules studying the properties of common probability distributions using Maple's symbolic computing capability as a backdrop. Specifically, animation and visualization are used to illustrate dependence of distribution shape on parameters, probability calculations, and simulations. Distribution moments are calculated using Maple's symbolic algebra features. The web accessible activities are aimed at an upper level probability - mathematical statistics student audience, and can be viewed as demonstrations or used as active learning tools. The authors wish to thank the Andrew W. Mellon Foundation for funding this project.


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