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Statistics, Data Analysis, and Decision Modeling and Student CD, 3/E
James R. Evans

ISBN-10: 0131888102
ISBN-13:  9780131888104

Publisher:  Prentice Hall
Copyright:  2007
Format:  Paper Bound w/CD-ROM; 576 pp
Published:  01/19/2006


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Description

For undergraduate or MBA courses that combine an introduction to business statistics and management science/decision modeling topics.

 

This concise text integrates fundamental theory and practical applications in a spreadsheet environment.  The first 8 chapters focus on statistical and data analysis topics and the remaining chapters focus on decision models.


Features

This concise text integrates fundamental theory and practical applications in a spreadsheet environment.  The first 8 chapters focus on statistical and data analysis topics and the remaining chapters focus on decision models. 

 

Do you have a course that combines statistics and some management science topics such as optimization (linear programming), queing, and simulation?  

  • Concise approach- This book integrates fundamental concepts of business statistics and decision models in fourteen chapters.

How to do you motivate students? What types of examples do you use?

  • Practical applications- A comprehensive database using marketing, finance, and production data, is used throughout the text to give students hands-on experience in analyzing data for practical decisions.

Do you use software or add-ins to demonstrate these techniques? If so, which? 

  • Spreadsheet Emphasis- The emphasis is on using spreadsheets for data analysis and decision modeling. The book features Excel, and the Excel Add-ins: PHStat, Student Version of Crystal Ball, and Tree Plan. SimQuick is included as well.

  • The Student CD includes:

    • All the data and model files for the problems and exercises
    • Excel add-ins:  
      • PHStat is a collection of statistical tools that enhance Excel's capabilities
      • Crystal Ball is the most popular commercial package for risk analysis (includes: CBPredictor for forecasting and OptQuest for optimization)
      • TreePlan is a decision analysis add-in 
    • SimQuick is an Excel based application for process simulation
    • Educational version of Premium Solver used for additional analysis capability

Do you spend time in class teaching students the specific steps on how to use the software to solve the different techniques? 

  • Boxed "Notes" for Excel, PHStat, and other Excel add-ins- These notes provide procedural details of using specific functions, tools, or techniques.

 


New To This Edition

  • New chapter on building and using decision models
  • Coverage of confidence intervals and hypothesis testing have been split into two shorter chapters to provide better focus and flexibility in using the book. 
  • More detailed explanations, examples and many new problems and exercises from a variety of disciplines.
  • New data sets for both the illustrative examples and problems.
  • Conceptual Review Questions that focus on the understanding of fundamental concepts and a seperate section for numerical problems and exercises.
  • New topics added to the revision include:
    • Statistics: Six Sigma and statistical thinking (ch. 1); Bayes' theorem (ch. 3); Expanded discussion of Type II errors and the power of an hypothesis test (ch. 5); design of experiments, including simple factorial experiments and two0way ANOVA (ch. 5)
    • Decision Modeling: Building decision models on spreadsheets and spreadsheet quality (ch. 9); Tornado and spider charts (ch. 9; Expanded treatment of expected value decision making (ch. 10); Utility and decision making (ch. 10)
    • Queing and simulation: Expanded discussion of analytical queuing models and Little's Law (ch. 12); Process simulation modeling with SimQuick software (ch. 12); SimQuick is an Excel-based simulation package that is used to introduce concepts of process simulation within a spreadsheet environment, but without the necessity of creating or using complex Excel spreadsheets.
    • Optimization modeling and solution: New models and examples of integer optimization with binary varibales (ch. 13); Little known issues tricks for using Solver effectively, such as report formats and upper and lower bounds (ch. 14); Evolutionary Solver for nonlinear optimization (ch. 14).


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


Next Edition(s)

  • Statistics, Data Analysis & Decision Modeling, 4/E
    Evans
    ©2010  |  Prentice Hall  |  Paper; 592 pp  |  Instock
    ISBN-10: 0136066003  |  ISBN-13: 9780136066002
    Brief Description  |  More Info

  • Statistics, Data Analysis, and Decision Modeling, 5/E
    Evans
    ©2013  |  Prentice Hall  |  Paper; 552 pp  |  Instock
    ISBN-10: 0132744287  |  ISBN-13: 9780132744287
    Brief Description  |  More Info

  • Statistics, Data Analysis, and Decision Modeling, 5/E
    Evans
    ©2013  |  Prentice Hall  |  Paper; 552 pp  |  Instock
    ISBN-10: 0132744287  |  ISBN-13: 9780132744287
    Brief Description  |  More Info



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Instructor Resource Center, 3/E
Evans & Knox
©2007  |  Prentice Hall  |  On-line Supplement  |  Live
ISBN-10: 013188610X  |  ISBN-13: 9780131886100

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 | More Info

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For Introduction to Business Statistics (Two Semester)

JMP Technology Tutorial Videos for Business Statistics
Pearson
©2012  |  Prentice Hall  |  On-line Supplement  |  Live
ISBN-10: 032174778X  |  ISBN-13: 9780321747785
More Info


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  • Pearson Custom Business Resources
    Pearson
    ©2012  |  Prentice Hall  |  On-line Supplement  |  Live
    ISBN-10: 0136096557  |  ISBN-13: 9780136096559
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