Abstract Details
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Activity Number:
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414
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 6, 2013 : 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 - #308252 |
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Title:
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Statistics Without the Normal Distribution
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Author(s):
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Monnie McGee*+
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Companies:
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Southern Methodist University
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Keywords:
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Nonparametric Statistics ;
Bootstrap ;
Simulation ;
SAS ;
Education
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Abstract:
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The first and second courses for a statistics major are often an introductory course and a regression course, respectively. Most of the time, the methods taught in these courses have distributional assumptions which must be met for hypothesis tests using these methods to be valid. For statistics majors, this begs the question, "What do I do when the distributional assumptions are not met?" A course in nonparametric statistics can help answer that question. Such a course should also teach computational techniques, such as the bootstrap (parametric and nonparametric) and simulation. In this talk, I describe such a course given to statistics majors and minors at SMU.
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Authors who are presenting talks have a * after their name.
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