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Cover image for Statistics, data analysis and decision modeling
Title:
Statistics, data analysis and decision modeling
Publication Information:
Upper Saddle River, N. J. : Prentice Hall, 2000
Physical Description:
1 compact disc ; 12cm
ISBN:
9780130205452
General Note:
Accompanies text of the same title : (HD30.215 E83 2000)
Added Author:

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30000010098883 CP 1605 Computer File Accompanies Open Access Book Compact Disc Accompanies Open Access Book
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30000010000192 CP 1605 Computer File Accompanies Open Access Book Compact Disc Accompanies Open Access Book
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Summary

Summary

For a brief or modular course covering business statistics and introductory topics in management science. Designed specifically for today's shorter courses, often found in MBA programmes. This text covers the basic concepts of business statistics, data analysis, and management science in a contemporary spreadsheet environment. The authors emphasize practical applications of the approaches to business decision making. *This book integrates fundamental concepts of business statistics and decision models in only nine chapters. The authors take a practical, non-mathematical approach. *Practical applications - The authors emphasize applications throughout. *The emphasis is on using spreadsheets for data analysis and decision modeling. The book features Excel, and the Excel add-ins: PHSTAT, Crystal Ball, and TreePlan. *Software Tools - PHSTAT, a collection of statistical tools that enhance the capabilities of Excel; a student version of Crystal Ball, the most popular commercial package for simulation and risk analysis; and TreePlan, a decision analysis add-in, are included on the CD-ROM packaged with the book for free.


Table of Contents

1 Data and Business Decisions
2 Displaying and Summarizing Data
3 Random Variables and Probability Distributions
4 Sampling and Estimation
5 Hypothesis Testing and Statistical Inference
6 Regression Analysis
7 Forecasting
8 Statistical Quality Control
9 Building and Using Decision Models
10 Decisions and Risk
11 Risk Analysis and Monte Carlo Simulation
12 Queues and Process Simulation Modeling
13 Optimization Modeling
14 Solving and Analyzing Optimization Models
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