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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.

Statistics, Data Analysis, and Decision Modeling: International Edition

• 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