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Title
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Room
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Teaching an Introductory Statistics Course Based on Statistical Thinking
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M-International Salon D
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Date / Time
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Sponsor
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Type
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08/05/2001
7:30 AM
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3:30 PM
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ASA, Section on Statistical Education*, Section on Quality & Productivity*
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Other
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Organizer:
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n/a
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Chair:
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n/a
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Discussant:
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CE Presenter
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G. Rex Bryce
G. Rex Bryce
G. Rex Bryce
Roger Hoerl
Roger Hoerl
Roger Hoerl
Ronald Snee
Ronald Snee
Ronald Snee
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Description
A great deal has been a published recently about making fundamental changes to introductory statistics courses. Much of this discussion has centered around focusing more on conceptual understanding of key concepts (statistical thinking), and less on formulas and calculations, which can now be left to the computer. For example, the ASA/MAA Committee on Undergraduate Statistics recommends: "...emphasize statistical thinking through active learning with more data and concepts, less theory and fewer recipes". A key barrier which has been raised is that instructors would need to devote considerable time to redesigning their intro courses from scratch, since even the recently revised texts don't go far enough in the transition from calculations to statistical thinking. For example, few include interactive exercises or projects in the text itself, teach how to integrate the tools into an overall process of scientific discovery, provide sequential case studies involving several tools, or stress a dynamic process versus static population context for data. This workshop will present a radically revised course based on statistical thinking, utilizing a new text published by Hoerl and Snee. This text is oriented towards a business context, but with augmentation can be used for other contexts as well, such as general or engineering statistics. The workshop will also review results and lessons learned from a recent pilot of the course at Brigham Young University. Attendees should have experience teaching introductory statistics.
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