Statistics, Data Analysis, and Decision Modeling, International Edition, 5th edition

Published by Pearson (March 20, 2013) © 2013

  • James R Evans Lancaster University
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For undergraduate and graduate level courses that combines introductory statistics with data analysis or decision modeling.

A pragmatic approach to statistics, data analysis and decision modeling.

Statistics, Data Analysis & Decision Modeling focuses on the practical understanding of its topics, allowing readers to develop conceptual insight on fundamental techniques and theories. Evans’ dedication to present material in a simple and straightforward fashion is ideal for student comprehension.

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  • PART I: STATISTICS AND DATA ANALYSIS   
  • Chapter 1 Data and Business Decisions   
  • Chapter 2 Displaying and Summarizing Data   
  • Chapter 3 Probability Distributions and Applications   
  • Chapter 4 Sampling and Estimation   
  • Chapter 5 Hypothesis Testing and Statistical Inference   
  • Chapter 6 Regression Analysis   
  • Chapter 7 Forecasting   
  • Chapter 8 Statistical Quality Control   
  • PART II: DECISION MODELING AND ANALYSIS   
  • Chapter 9 Building and Using Decision Models   
  • Chapter 10 Risk Analysis and Monte Carlo Simulation   
  • Chapter 11 Decisions, Uncertainty, and Risk    
  • Chapter 12 Queues and Process Simulation Modeling   
  • Chapter 13 Linear Optimization  
  • Chapter 14 Integer and Nonlinear Optimization   
  • Appendix

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