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Activity Number:
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349
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Type:
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Roundtables
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Date/Time:
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Wednesday, August 1, 2007 : 7:00 AM to 8:15 AM
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Sponsor:
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Section on Statistical Graphics
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| Abstract - #309851 |
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Title:
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Introducing Multivariate Statistics Through Graphics and Geometry
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Author(s):
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Daniel Kaplan*+
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Companies:
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Macalester College
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Address:
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Dept of Mathematics, Saint Paul, MN, 55116,
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Keywords:
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graphics ; modeling ; multivariate ; introductory
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Abstract:
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Real-world problems are almost always multivariate, but most people's mathematical background don't prepare them to work with multivariate statistics. I'll demonstrate a method used at Macalester College to teach introductory-level students the statistical concepts they need to think about multivariate relationships. The method relies on graphics and geometry and makes it much easier to understand in a concrete way seemingly abstract ideas, such as multi-colinearity, and seemingly advanced methods, such as analysis of covariance. The graphics and geometry open up the "black box" of multivariate statistical modeling so nonmathematically oriented people can use the techniques effectively and with understanding.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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