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OverviewAn introduction to business statistics Business Statistics: A Decision Making Approach provides students with an introduction to business statistics and to the analysis skills and techniques needed to make successful real-world business decisions. Written for students of all mathematical skill levels, the authors present concepts in a systematic and ordered way, drawing from their own experience as educators and consultants. Rooted in the theme that data are the starting point, Business Statistics champions the need to use and understand different types of data and data sources to be effective decision makers. This edition integrates Microsoft Excel throughout as a way to work with statistical concepts and give students a resource that can be used in both their academic and professional careers. Full Product DetailsAuthor: David Groebner , Patrick Shannon , Phillip Fry , Patrick ShannonPublisher: Pearson Education Limited Imprint: Pearson Education Limited Edition: 10th edition Dimensions: Width: 21.40cm , Height: 3.00cm , Length: 27.40cm Weight: 1.560kg ISBN: 9781292220383ISBN 10: 1292220384 Pages: 928 Publication Date: 12 January 2018 Audience: Professional and scholarly , Professional and scholarly , Professional & Vocational , Professional & Vocational Replaced By: 9781292446288 Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsThe Where, Why, and How of Data Collection Graphs, Charts, and Tables–Describing Your Data Describing Data Using Numerical Measures Introduction to Probability Discrete Probability Distributions Introduction to Continuous Probability Distributions Introduction to Sampling Distributions Estimating Single Population Parameters Introduction to Hypothesis Testing Estimation and Hypothesis Testing for Two Population Parameters Hypothesis Tests and Estimation for Population Variances Analysis of Variance Goodness-of-Fit Tests and Contingency Analysis Introduction to Linear Regression and Correlation Analysis Multiple Regression Analysis and Model Building Analyzing and Forecasting Time-Series Data Introduction to Nonparametric Statistics Introducing Business AnalyticsReviewsAuthor InformationDavid F. Groebner is Professor Emeritus of Production Management in the College of Business and Economics 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, Groebner has worked extensively with both small and large organisations, including Hewlett-Packard, Boise Cascade, Albertson's, and Ore-Ida. He has worked with numerous government agencies, including Boise City and the U.S. Air Force. Patrick W. Shannon, Ph.D. is Dean and Professor of Supply Chain Operations Management in the College of Business and Economics at Boise State University. In addition to his administrative responsibilities, he has taught 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 more than 20 years. 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 organisations. 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. Phillip C. Fry is a professor 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, supply chain management, and quantitative business modeling. In addition to his academic responsibilities, Fry has consulted with and provided training to small and large organisations, including Boise Cascade Corporation, Hewlett-Packard Corporation, the J.R. Simplot Company, United Water of Idaho, Woodgrain Millwork, Inc., Boise City, and Intermountain Gas Company. Tab Content 6Author Website:Countries AvailableAll regions |