JSM 2005 - Toronto

Abstract #302641

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 464
Type: Invited
Date/Time: Thursday, August 11, 2005 : 8:30 AM to 10:20 AM
Sponsor: Committee on Career Development
Abstract - #302641
Title: Collaborating, Data Analysis, and Science in Statistical Education
Author(s): Johanna Hardin*+
Companies: Pomona College
Address: , Claremont, CA, 91711,
Keywords: student collaboration ; education

As statisticians, we all appreciate the value of collaboration. We know ours is not a solitary science and both our work and other scientific work are greatly enhanced by collaboration. Additionally, for most of us, we are excited not only by the mathematics we delve into, but also the problemsolving that comes by attacking real problems. Even so, in education we often forget that it is both problemsolving and collaboration that is most likely to entice our students to study statistics. In particular, the mathematical statistics course is often very formulaic with little connection to other types of science. In this talk, I will discuss the importance of collaboration in education, particularly with undergraduates. Also, I will give examples of bringing science and collaboration into traditionally mathematically dominated statistics courses and undergraduate research projects.

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Revised March 2005