Bruce L. Bowerman is professor of decision sciences at Miami University in Oxford, Ohio. He received his Ph.D. degree in statistics from Iowa State University in 1974, and he has over 37 years of experience teaching basic statistics, regression analysis, time series forecasting, survey sampling, and design of experiments to both undergraduate and graduate students. In 1987 Professor Bowerman received an Outstanding Teaching award from the Miami University senior class, and in 1992 he received an Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Richard T. O’Connell, Professor Bowerman has written 12 textbooks. These include Business Statistics in Practice, Fourth Edition; Forecasting and Time Series: An Applied Approach; Forecasting, Time Series, and Regression: An Applied Approach (also coauthored with Anne B. Koehler); and Linear Statistical Models: An Applied Approach. The first edition of Forecasting and Time Series earned an Outstanding Academic Book award from Choice magazine. Professor Bowerman has also published a number of articles in applied stochastic processes, time series forecasting, and statistical education. In his spare time, Professor Bowerman enjoys watching movies and sports, playing tennis, and designing houses.

Richard T. O’Connell is associate professor of decision sciences at Miami University in Oxford, Ohio. He has more than 32 years of experience teaching basic statistics, statistical quality control and process improvement, regression analysis, time series forecasting, and design of experiments to both undergraduate and graduate business students. He also has extensive consulting experience and has taught workshops dealing with statistical process control and process improvement for a variety of companies in the Midwest. In 2000 Professor O’Connell received an Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Bruce L. Bowerman, he has written 12 textbooks. These include Business Statistics in Practice, Fourth Edition; Forecasting and Time Series: An Applied Approach; Forecasting, Time Series, and Regression: An Applied Approach (also coauthored with Anne B. Koehler); and Linear Statistical Models: An Applied Approach. Professor O’Connell has published a number of articles in the area of innovative statistical education. He is one of the first college instructors in the United States to integrate statistical process control and process improvement methodology into his basic business statistics course. He (with Professor Bowerman) has written several articles advocating this approach. He has also given presentations on this subject at meetings such as the Joint Statistical Meetings of the American Statistical Association and the Workshop on Total Quality Management: Developing Curricula and Research Agendas (sponsored by the Production and Operations Management Society). Professor O’Connell received an M.S. degree in decision sciences from Northwestern University in 1973, and he is currently a member of both the Decision Sciences Institute and the American Statistical Association. In his spare time, Professor O’Connell enjoys fishing, collecting 1950s and 1960s rock music, and following the Green Bay Packers and Purdue University sports.

James Burdeane “Deane” Orris is a professor of management science at Butler University in Indianapolis, Indiana. He received his Ph.D. from the University of Illinois in 1971, and in the late 1970s with the advent of personal computers, he combined his interest in statistics and computers to write one of the first personal computer statistics packages—MICROSTAT. Over the past 20 years, MICROSTAT has evolved into MegaStat® which is an Excel® add-in statistics program. He wrote an Excel book, Essentials: Excel 2000 Advanced, in 1999 and Basic Statistics Using Excel and MegaStat in 2006. Professor Orris also has done work in neural networks, spreadsheet simulation, and statistical analysis for many research projects. He has taught statistics and computer courses in the College of Business Administration of Butler University since 1971. He is a member of the American Statistical Association and is past president of the Central Indiana Chapter. In his spare time, Professor Orris enjoys reading, working out, and working in his woodworking shop.

Dawn C. Porter is an assistant professor of statistics at the Marshall School of Business at the University of Southern California in Los Angeles, California. Prior to moving to USC, she was an assistant professor at the McDonough School of Business of Georgetown University for five years. There, Dawn taught undergraduate introductory statistics and an MBA regression elective course and was nominated for MBA Outstanding Teacher of the Year Award in 2004, 2005, and 2006. She received her Ph.D. from the Stern School of Business at New York University in January of 2001 and taught a number of courses there, including several sections of the undergraduate basic statistics and the first course in statistics for the MBA course. During the 2000–2001 academic year, Dawn was also a visiting assistant professor in the psychology department, teaching doctoral level courses in multivariate statistics, psychometric theory, analysis of variance, and advanced regression analysis. Her research interests include categorical data analysis and multivariate modeling; she has done considerable work in the area of reputation management systems in e-commerce and online auction environments. She regularly presents her work at the annual American Statistical Association’s Joint Statistical Meetings, the Meetings of the Decision Sciences Institute, and the International Conference on Information Systems. Outside her academic life, Dawn enjoys swing and salsa dancing, watercolor painting, and travel.