JSM 2004 - Toronto

Abstract #302091

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. 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, 2004); 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.


Back to main JSM 2004 Program page



Activity Number: 443
Type: Contributed
Date/Time: Thursday, August 12, 2004 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Education
Abstract - #302091
Title: Using APPL
Author(s): Diane Evans*+
Companies: Rose-Hulman Institute of Technology
Address: Mathematics Dept., Terre Haute, IN, 47803,
Keywords: computer algebra system ; post-calculus statistics ; probability distributions
Abstract:

This talk shows how the Maple-based software tool APPL, "A Probability Programming Language," can be utilized in the classroom for performing random variable manipulations and calculations (e.g., PDF/CDF conversions, convolutions, distribution plot comparisons) for both well-known and arbitrary distributions. I have integrated the use of APPL into my post-calculus introductory statistics and probability courses at Rose-Hulman Institute of Technology. The student response has been positive; they are able to (1) minimize time spent on tedious calculations and devote it to the problem solving process, (2) test their own ideas and conjectures about random variable behavior, and (3) visually compare their numerical answers to plots obtained with APPL. I am able to provide convincing evidence of well-known theorems, such as the Central Limit Theorem, through exact random variable manipulation instead of simulations. Using APPL has allowed me to give students an intuitive glimpse behind statistical and probabilistic theory while having time for illustrating this theory in applications. This talk will illustrate the usefulness and power of the APPL language.


  • 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 2004 program

JSM 2004 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2004