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Activity Number:
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385
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Education
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| Abstract - #309408 |
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Title:
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How Much Mathematics Is Appropriate in a Modern Statistics Course?
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Author(s):
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Brian E. Smith*+
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Companies:
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McGill University
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Address:
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1001 Sherbrooke St West, Montreal, QC, H3A 1G5, Canada
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Keywords:
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mathematics ; formula ; software ; concept
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Abstract:
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This presentation will examine the presenter's experiences in shifting from a traditional formula driven business statistics course to a format with greater emphasis on a conceptual, largely computer based, approach. The focus of the new course is on presenting major statistical concepts via a combination of visualization and interpretation of computer output. An important question arises with regard to the reduction of the quantitative component of the course, namely, how little is too little? In the author's experience there is a subset of students who feel disadvantaged when formulas are glossed over and when numerical results are produced via the black box effect of having them produced by a software package. This dilemma will be examined from the perspective of a statistics instructor with a strong mathematical background and a commitment to teaching an excellent statistics course.
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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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