Three Methods to Engage Students in the Introductory Statistics Course: Humor, Active Learning, and Relevant Examples

Proceedings of The Decision Sciences Institute Conference, Orlando, Fl., pp. 218-222, November 18-21, 2000

6 Pages Posted: 13 Aug 2013

See all articles by Taiwo Amoo

Taiwo Amoo

City University of New York (CUNY) - Department of Finance

Hershey H. Friedman

City University of New York (CUNY) - Koppelman School of Business

Linda Weiser Friedman

City University of New York (CUNY) - Paul H. Chook Department of Information Systems & Statistics; CUNY - The Graduate Center

Date Written: November 18, 2000

Abstract

This paper contends that the required introductory statistics course can be fun, interesting, and relevant. A search of the recent literature in the area points to three possible methods for accomplishing this: humor, active learning, and realistic and relevant examples. This paper provides illustrations of how to incorporate the three methods under study -- humor, active learning, and relevant examples -- into traditional introductory course of study. Finally, the authors' experiences with the use of these techniques and the results of a student survey are presented and discussed.

Keywords: statistics education, humor, active learning

JEL Classification: A22, C10, I10, I21, I29

Suggested Citation

Amoo, Taiwo and Friedman, Hershey H. and Friedman, Linda Weiser, Three Methods to Engage Students in the Introductory Statistics Course: Humor, Active Learning, and Relevant Examples (November 18, 2000). Proceedings of The Decision Sciences Institute Conference, Orlando, Fl., pp. 218-222, November 18-21, 2000, Available at SSRN: https://ssrn.com/abstract=2309452

Taiwo Amoo

City University of New York (CUNY) - Department of Finance ( email )

2900 Bedford Avenue
Brooklyn, NY 11210
United States

Hershey H. Friedman (Contact Author)

City University of New York (CUNY) - Koppelman School of Business ( email )

Management, Marketing & Entrepreneurship Dept.
2900 Bedford Avenue
BROOKLYN, NY 11210
United States
7189515000 (Phone)

Linda Weiser Friedman

City University of New York (CUNY) - Paul H. Chook Department of Information Systems & Statistics ( email )

17 Lexington Avenue
New York, NY 10010
United States

HOME PAGE: http://linda.proffriedman.net

CUNY - The Graduate Center

365 Fifth Avenue
New York,, NY 10016
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
87
Abstract Views
788
Rank
600,716
PlumX Metrics