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Statistics, Data Analysis, and Decision Modeling

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ISBN-10: 0131888102

ISBN-13: 9780131888104

Edition: 3rd 2007

Authors: James R. Evans

List price: $133.33
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Description:

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;…    
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Book details

List price: $133.33
Edition: 3rd
Copyright year: 2007
Publisher: Prentice Hall PTR
Binding: Mixed Media
Pages: 576
Size: 8.00" wide x 10.00" long x 0.75" tall
Weight: 2.244
Language: English

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…    

Data and Business Decisions
Displaying and Summarizing Data
Random Variables and Probability Distributions
Sampling and Estimation
Hypothesis Testing and Statistical Inference
Regression Analysis
Forecasting
Statistical Quality Control
Building and Using Decision Models
Decisions and Risk
Risk Analysis and Monte Carlo Simulation
Queues and Process Simulation Modeling
Optimization Modeling
Solving and Analyzing Optimization Models