Loose Leaf for Business Statistics in Practice

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 40 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 16 textbooks. These include 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 fi rst 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.

Anne M. Drougas is a Professor of Finance and Quantitative Methods at Dominican University in River Forest, Illinois. Over the course of her academic career, she has received three teaching awards and has developed and taught online and hybrid business statistics and finance courses. Her research is primarily in the areas of corporate finance, simulation, and business analytics with publications in a number of journals including the Journal of Financial Education and Journal of Applied Business and Economics. She spends her spare time with her family and serving on the board of directors for Hephzibah House, a social service agency for children in Oak Park, Illinois.

William M. Duckworth specializes in statistics education and business applications of statistics. His professional affiliations have included the American Statistical Association (ASA), the International Association for Statistical Education (IASE), and the Decision Sciences Institute (DSI). Dr. Duckworth was also a member of the Undergraduate Statistics Education Initiative (USEI), which developed curriculum guidelines for undergraduate programs in statistical science that were officially adopted by the ASA. Dr. Duckworth has published research papers, been an invited speaker at professional meetings, and taught company training workshops, in addition to providing consulting and expert witness services to a variety of companies. During his tenure in the Department of Statistics at Iowa State University, his main responsibility was coordinating, teaching, and improving introductory business statistics courses. Dr. Duckworth currently teaches business analytics to both undergraduate and graduate students in the Heider College of Business at Creighton University.

Amy G. Froelich received her Ph.D. in Statistics from the University of Illinois, Urbana-Champaign, and currently is Associate Professor and Director of Undergraduate Education in the Department of Statistics at Iowa State University. A specialist in undergraduate statistics education, she has taught over 2,700 students at Iowa State in the last 18 years, primarily in introductory statistics, probability and mathematical statistics, and categorical data analysis. Her research in statistics education and psychometrics and educational measurement has appeared in The American Statistician, the Journal of Statistics Education, Teaching Statistics, and the Journal of Educational Measurement, and she and her colleagues have received research funding from the National Science Foundation, the U.S. Department of Agriculture, and the U.S. Department of Education. Dr. Froelich has received several teaching and advising awards at Iowa State University and was the 2010 recipient of the Waller Education Award from the American Statistical Association. When not working, she enjoys reading, spending time with her family, and supporting her daughters' extracurricular activities.

Ruth M. Hummel is an Academic Ambassador with JMP, a division of SAS specializing in desktop software for dynamic data visualization and analysis. As a technical advocate for the use of JMP in academic settings, she supports professors and instructors who use JMP for teaching and research. She has been teaching and consulting since 2002, when she started her career as a high school math teacher. She has taught high school, undergraduate, and graduate courses in mathematics and statistics, and directed statistical research and analysis in a variety of fields. Ruth holds a Ph.D. in statistics from Pennsylvania State University.