Business Statistics: A Decision Making Approach

This comprehensive, user-friendly reference explores many descriptive and inferential statistical topics integral to business problem solving and decision making.

Chapter topics include data collection; graphs, charts, and tables; probability distributions; sampling distributions; estimating population values; hypothesis testing; quality management and statistical process control; linear regression and correlation analysis; model building and multiple regression analysis; and nonparametric statistics.

For business professionals involved in data presentations and descriptive analyses.

"PATRICK W. SHANNON, PH.D." is Professor of Production and Operations Management in the College of Business and Economics at Boise State University. He teaches graduate and undergraduate courses in business statistics, quality management, and production and operations management. In addition, Dr. Shannon has lectured and consulted in the statistical analysis and quality management areas for over 20 years. Listed among his consulting clients are Boise Cascade Corporation, Hewlett-Packard; PowerBar, Inc.; Potlatch Corporation; Woodgrain Millwork, Inc.; J.R. Simplot Company; Zilog Corporation; and numerous other public- and private-sector organizations. Professor Shannon has co-authored several university-level textbooks and has published numerous articles in such journals as "Business Horizons, Interfaces, Journal of Simulation, Journal of Production and Inventory Control, Quality Progress," and "Journal of Marketing Research." He obtained B.S. and M.S. degrees from the University of Montana and a Ph.D. in Statistics and Quantitative Methods from the University of Oregon.

"DAVID F. GROEBNER" is a Professor of Production Management and Chairman of the Department of Computer Information Systems and Production Management at Boise State University. He has bachelor's and master's degrees in Engineering and a Ph.D. in Business Administration. After working as an engineer, he has taught statistics and related subjects for 27 years. In addition to writing textbooks and academic papers, he has worked extensively with both small and large organizations, including Hewlett-Packard, Boise Cascade, Albertson's, and Ore-Ida. He has worked with numerous government agencies, including Boise Cityand the U.S. Air Force.

"PHILLIP C. FRY" is an Associate Professor in the Department of Computer Information Systems and Production Management in the College of Business and Economics at Boise State University, where he has taught since 1988. Phil received his B.A. and M.B.A degrees from the University of Arkansas, and his M.S. and Ph.D. degrees from Louisiana State University. His teaching and research interests are in the areas of business statistics, production management, and quantitative business modeling. In addition to his academic responsibilities, Phil has consulted with and provided training to small and large organizations, including Boise Cascade Corporation; Hewlett-Packard Corporation; The J.R. Simplot Company; United Water of Idaho; Woodgrain Millwork, Inc.; Boise City; and Micron Electronics.

Phil spends most of his free time with his wife Susan, to whom he has been married for 18 years, and his four children, Phillip Alexander, age 8, Alejandra Johanna, age 7, and twins, Courtney Rene and Candace Marie, age 1.

"KENT D. SMITH" received a Ph.D. in Applied Statistics from the University of California, Riverside in 1981. He holds a Master of Science degree in Statistics from the University of California, Riverside and a Master of Science degree in Systems Analysis from the Air Force Institute of Technology. His Bachelor of Arts degree in Mathematics was obtained from the University of Utah. Dr. Smith has served as a University Statistical Consultant at the University of California, Riverside and at California Polytechnic State University, San Luis Obispo. While at the University of California, he served as a consultant for the Biometrical Services Unit of theBiometrical Project at the University of California, Riverside. His private consulting has ranged from serving as an expert witness in legal cases, survey sampling for corporations and private researchers, medical and orthodontic research, and assisting graduate students with analysis required for master and doctoral degrees in various disciplines.

Dr. Smith began teaching as a part-time lecturer at the California State University, San Bernardino. While completing his doctoral dissertation, he served as a lecturer at the University of California, Riverside. Currently, he is a Professor of Statistics at the California Polytechnic State University, San Luis Obispo, one of the minority of universities that offer an undergraduate degree in statistics. The subjects he teaches include upper-division courses in regression, analysis of variance, nonparametrics, linear models, and probability and mathematical statistics, as well as a full array of service courses.