Statistics, Data Analysis, and Decision Modeling
Description
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.
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Content
- 1 Data and Business Decisions
- 2 Displaying and Summarizing Data
- 3 Probability Distributions and Applications
- 4 Sampling and Estimation
- 5 Hypothesis Testing and Statistical Inference
- 6 Regression Analysis
- 7 Forecasting
- 8 Statistical Quality Control
- 9 Building and Using Decision Models
- 10 Risk Analysis and Monte Carlo Simulation
- 11 Decisions, Uncertainty, and Risk
- 12 Queues and Process Simulation Modeling
- 13 Linear Optimization
- 14 Integer and Nonlinear Optimization