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MAA Ancillary Workshop

Tuesday, January 3rd, 2012
The Sheraton Boston, 39 Dalton Street, Boston, MA.
The Sheraton is co-headquarters for JMM and is next door/connected to the Hynes Convention Center.

Identifying and Addressing Difficult Concepts for Students in the Introductory Statistics Course

Meeting time: Tuesday, January 3, 2012, 8:30am - 4:30pm with two short breaks and a lunch break.

Presenter: Marjorie Bond, Monmouth College.


We know that students have difficulty with certain topics in statistics such as sampling distributions, and it can be difficult to determine the best approach to take to help our students work through these topics. In this workshop we take a selection of difficult concepts, zoom in on exactly what the problems are from the student's point of view, and examine where, when and how to address them in our course. Along the way we will examine these difficult statistical concepts in detail, and look for common threads that may even lead us back to issues from Chapter 1. The workshop is particularly geared toward instructors at two-year colleges.

Participants should bring a laptop computer to the workshop, if possible. Participants will be on their own for lunch, suggestions for nearby options will be provided.

There is no workshop registration fee and advance registration is required. You will receive notification of acceptance. There will be no on-site registration; walk-ins on the day of the workshop will not be accommodated.

About the presenter

Marjorie Bond Marjorie Bond is a Professor of Mathematics and Computer Science at Monmouth College, in Monmouth, Illinois. She has over twenty years in the classroom teaching introductory statistics courses at multiple institutions to students with varies mathematics background. She has written for the Teaching Bits column of the Journal of Statistics Education, has several entries in Encyclopedia of Epidemiology, is active in the statistics education community, and regularly presents at the Joint Statistical Meetings and USCOTS. She is a co-leader of a research group working on motivation and attitudes toward statistics as well as students' perceptions of statistics prior to taking a statistics course.