David P. Doane is Professor of Quantitative Methods in Oakland University's Department of Decision and Information Sciences. He earned his Bachelor of Arts degree in mathematics and economics at the University of Kansas and his PhD from Purdue University's Krannert Graduate School. His research and teaching interests include applied statistics, forecasting, and statistical education. He is co-recipient of three National Science Foundation grants to develop software to teach statistics and to create a computer classroom. He is a long-time member of the American Statistical Association and INFORMS, serving in 2002 as President of the Detroit ASA chapter, where he remains on the board. He has consulted with government, health care organizations, and local firms. He has published articles in many academic journals and is the author of LearningStats (McGraw-Hill, 2003, 2007) and co-author of Visual Statistics (McGraw-Hill, 1997, 2001).

Lori E. Seward is an Instructor in the Decision Sciences Department in the College of Business at The University of Colorado at Denver and Health Sciences Center. She earned her Bachelor of Science and Master of Science degrees in Industrial Engineering at Virginia Tech. After several years working as a reliability and quality engineer in the paper and automotive industries, she earned her PhD from Virginia Tech. She served as the Chair of the INFORMS Teachers' Workshop for the annual 2004 meeting. Prior to joining UCDHSC in 2008, Dr. Seward served on the faculty at the Leeds School of Business at CU-Boulder for ten years. Her teaching interests focus on developing pedagogy that uses technology to create a collaborative learning environment in both large undergraduate and MBA statistics courses. Her most recent article was published in The International Journal of Flexible Manufacturing Systems (Kluwer Academic Publishers, 2004).