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