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.
Table of Contents
1. Data and Business Decisions 2. Displaying and Summarizing Data 3. 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 Spreadsheet Decision Models 10. Risk Analysis and Monte Carlo Simulation 11. Making decisions under risk and uncertainty 12. Queues and Process Simulation Modeling 13. Linear Optimization 14. Integer and Nonlinear Optimization