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Statistics, Data Analysis, And Decision Modeling - Softcover

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9780131888104: Statistics, Data Analysis, And Decision Modeling

Synopsis

This book covers basic concepts of business statistics, data analysis, and management science in a spreadsheet environment. Practical applications are emphasized throughout the book for business decision-making; a comprehensive database is developed, with marketing, financial, and production data already formatted on Excel worksheets. This shows how real data is used and decisions are made.

Using Excel as the basic software, and including such add-ins as PHStat2, Crystal Ball, and TreePlan, this book covers a wide variety of topics related to business statistics: statistical thinking in business; displaying and summarizing data; random variables; sampling; regression analysis; forecasting; statistical quality control; risk analysis and Monte-Carlo simulation; systems simulation modeling and analysis; selection models and decision analysis; optimization modeling; and solving and analyzing optimization models.

For those employed in the fields of quality control, management science, operations management, statistical science, and those who need to interpret data to make informed business decisions.

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From the Back Cover

Unique in approach, this short, basic introduction to business statistics focuses on the practical applications of data analysis to business decision making in an electronic spreadsheet environment. It uses a comprehensive database (in the form of a Microsoft Excel Workbook) for a fictitious company to illustrate techniques and methodology as well as to provide a source of problems and exercises in a unified business context. Other spreadsheet add-ins--PHStat; a student version of Crystal Ball; and Treeplan--are also used for additional analysis capability. An accompanying CD-ROM contains the database, additional files, the student version of Crystal Ball, and Treeplan software and documentation. Data Analysis and Business Decisions. Displaying and Summarizing Data. Random Variables and Probability Distributions. Sampling and Statistical Analysis for Decision Making. Statistical Quality Control. Regression Analysis. Forecasting. Selection Models and Risk Analysis. Optimization. For anyone needing a quick, hands-on, applied introduction to business statistics in the contemporary electronic spreadsheet environment.

About the Author

James R. Evans is professor in the Department of Operations, Business Analytics, and Information Systems in the Lindner College of Business at the University of Cincinnati. His service includes president of the Decision Sciences Institute 1997-1998 and 11 years on the Board of Examiners and Panel of Judges for the Malcolm Baldrige National Quality Award. He has been Editor of the Quality Management Journal, published by the American Society for Quality, and served on editorial boards of numerous other journals. Dr. Evans has published more than 90 refereed papers and more than 30 editions of books. During the annual Quality Congress in May 2004, The American Society for Quality presented Dr. Evans and co-author Bill Lindsay with the Philip B. Crosby Medal for writing THE MANAGEMENT AND CONTROL OF QUALITY, 6E. The Crosby medal was presented "for authoring a distinguished book contributing significantly to the extension of the philosophy and application of the principles, methods, and techniques of quality management."

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9780130205452: Statistics, Data Analysis, and Decision Modeling

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ISBN 10:  0130205451 ISBN 13:  9780130205452
Publisher: Prentice Hall, 1999
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Published by Prentice Hall, 2006
ISBN 10: 0131888102 ISBN 13: 9780131888104
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Softcover. Condition: Good. 3rd Edition. Has used bookstore stickers. Text has Marking, Cover Has Shelf, Edge and Corner Wear, Looks nice. 557 pages. Quantity Available: 1. Shipped Weight: Under 1 kilo. Category: Education; Science & Technology. ISBN: 0131888102. ISBN/EAN: 9780131888104. Pictures of this item not already displayed here available upon request. Inventory No: 1561063185. Seller Inventory # 1561063185

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ISBN 10: 0131888102 ISBN 13: 9780131888104
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