A pragmatic approach to statistics, data analysis and decision modeling. Data and Business Decisions; Displaying and Summarizing Data; Probability Distributions; Sampling and Estimation; Hypothesis Testing and Statistical Inference; Regression Analysis; Forecasting; Statistical Quality Control; Building and Using Spreadsheet Decision Models; Risk Analysis and Monte Carlo Simulation; Making decisions under risk and uncertainty; Queues and Process Simulation Modeling; Linear Optimization; Integer and Nonlinear Optimization MARKET:Statistics, Data Analysis & Decision Modelingfocuses on the practical understanding of its topics that allows readers to develop conceptual insight on fundamental techniques and theories.