Business statistics : a decision-making approach / David F. Groebner, Patrick W. Shannon and Phillip C. Fry.
By: Groebner, David F [author]
.
Contributor(s): Shannon, Patrick W [author] | Fry, Phillip C [author].
Material type: 
BookPublisher: Harlow : Pearson, [2018]Edition: Tenth edition. Global edition.Description: 860 pages : color illustrations, tables ; 29 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781292220383 (paperback); 1292220384 (paperback).Subject(s): Commercial statistics | Decision making -- Statistical methodsDDC classification: 519.5 | Item type | Current library | Call number | Status | Notes | Barcode | |
|---|---|---|---|---|---|---|
| General lending | MTU Bishopstown Library Lending | 519.5 (Browse shelf(Opens below)) | Available | CIT Module MATH 6033 - 6034 - Core Reading | 00213623 | |
| 3 day loan | MTU Bishopstown Library Desk Loan | 519.5 (Browse shelf(Opens below)) | Available | CIT Module MATH 6033 - 6034 - Core Reading | 00213624 |
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Enhanced descriptions from Syndetics:
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 new 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.
Includes bibliographical references and index.
The 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 analytics -- Introduction to decision analysis -- Introduction to quality and statistical process control.
CIT Module MGMT 7016 - Core reading.
CIT Module MATH 6034 - Supplementary reading.
CIT Module MATH 6033 - Supplementary reading.
Author notes provided by Syndetics
David 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.