JSM 2005 Online Program

Abstract #303254

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.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page

Legend:

= Applied Session,

= Theme Session,

= Presenter

Activity Number:	179
Type:	Topic Contributed
Date/Time:	Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Section on Statistical Education
Abstract - #303254
Title:	What Can 'CSI' Teach Us about Statistical Literacy?
Author(s):	Jane Miller*+
Companies:	Rutgers University
Address:	Institute for Health Research, New Brunswick, NJ, 08901, United States
Keywords:	Statistical literacy ; Inferential statistics ; Expository Writing
Abstract:	What do the hit television show "CSI: Crime Scene Investigation" and statistical literacy have in common? Both involve using technical information as evidence in an inquiry and asking whether the scientific or numeric facts support or refute a hypothesis. In this paper, I show how to apply standard expository writing techniques to quantitative writing through the following steps: introducing the topic or question, describing individual facts in context, and relating the entire body of evidence back to the original question. I explain how to step back from the procedural details of conducting forensic chemistry tests or calculating inferential statistics to see how those results answer the question under study. I demonstrate several basic principles for effective quantitative communication such as reporting and interpreting numbers, specifying direction and magnitude of an association, and summarizing patterns using the "generalization, example, exceptions" (or "GEE") approach. Using these guidelines, statisticians and other quantitative writers will learn to conduct and present a coherent statistical investigation.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2005 program