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SPEAKER: |
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TITLE: |
"Statistical Lessons I Didn't Learn in School" |
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DAY: |
Wednesday, March 25, 1998 |
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TIME: |
3:30 p.m. [Coffee in BSB-202 at 3:00 p.m.] |
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PLACE: |
BSB-108 |
This talk will draw on experience gained working as a statistician in a business setting (Reader's Digest) and in a government setting (Statistics Canada). Rather than a technical exposition on a particular statistical problem, this is intended to highlight some of the pitfalls that a "well trained" statistician may (i.e. is likely to) encounter when attempting to use statistical knowledge to address realistic problems in the work place. For example, "How well does a regression equation really have to fit the data?" and "Why didn't it matter anyway?"
This presentation will be an attempt to distill some practical work experience into ideas that could be included in introductory statistics courses.
Dr Patricia Ann Newcombe obtained her Ph.D. in Statistics from University of Waterloo. Her thesis involved fitting first order AR models to left censored water quality data and deriving tests for distributional assumptions for same.She is currently a Visiting Assistant Professor at University of Waterloo, on leave from her position as a Survey Methodologist at Statistics Canada in Ottawa. Dr Newcombe worked previously as a Statistical Analyst for The Reader's Digest Association in Montreal and as a Lecturer of introductory statistics courses.