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. The latest edition of this text has been substantially re-written to improve clarity and make topics more up-to-date and practical.
Part 1: 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 2: Decision Modeling and Analysis
Chapter 9 Building and Using Decision Models
Chapter10 Risk Analysis and Monte Carlo simulation
Chapter11 Decisions, Uncertainty, and Risk
Chapter12 Queues and Process Simulation Modeling
Chapter13 Linear Optimization
Chapter14 Integer and Nonlinear Optimization