Statistics, Data Analysis, and Decision Modeling

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.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