Statistical Techniques in Business and Economics 18th Edition By Douglas Lind

William G. Marchal obtained his Bachelor of Science in mathematics from the University of Dayton, followed by a Master of Arts in mathematics from Catholic University of America, and a Doctor of Science in operations research from George Washington University. He is an Emeritus Professor of Information Systems and Operations Management at the University of Toledo College of Business Administration. Dr. Marchal has held visiting positions at the University of Michigan and George Mason University. He has worked at the Executive Office of the District of Columbia government, the George Washington University Institute for Management Science, and the U.S. Army Chemical Research and Development Center. He has also served as an associate editor of Naval Research Logistics.

Douglas A. Lind completed his Bachelor of Science in Business at Bowling Green State University, and his Doctorate and Master of Business Administration at the University of Toledo. He is an Emeritus Professor at Coastal Carolina University and the University of Toledo. Dr. Lind is a co-author of Statistical Techniques in Business and Economics with the late Robert D. Mason and William G. Marchal. With over 38 years of teaching experience at the college level, including statistics courses at various levels, as well as graduate courses in statistics and research methods. Dr. Lind is a former recipient of the Tony DeJute Outstanding Teacher Award.

Samuel A. Wathen graduated with a Bachelor of Science in forestry from the University of Illinois, an M.B.A. from Oklahoma State University, an M.S. in forest biometrics from Virginia Polytechnic Institute and State University, and a Ph.D. in business administration from the University of Minnesota. He is a Distinguished Professor Emeritus of Management and Decision Sciences in the E. Craig Wall Sr. College of Business Administration at Coastal Carolina University. Dr. Wathen’s research interests include applied statistics, teaching methodologies, and design of manufacturing and service processes. His most recent publication is the article “Using Real‐Life Major League Baseball Data in an Introductory Statistics Course” in the Decision Sciences Journal of Innovative Education.