Students will master data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 6E! Popular with students, instructors, and practitioners, this quantitative methods text delivers the tools to succeed with its proven teach-by-example approach, student-friendly writing style, and complete Excel 2016 integration. It is also compatible with Excel 2013, 2010, and 2007. Completely rewritten, Chapter 17, Data Mining, and Chapter 18, Importing Data into Excel, offer increased emphasis on tools commonly included under the Business Analytics umbrella -- such as Microsoft Excel’s “Power BI” suite. Up-to-date problem sets and cases provide realistic examples to show the relevance of the material. In addition, the Companion Website includes data and solutions files, PowerPoint slides, SolverTable, and the Palisade DecisionTools Suite (@RISK, BigPicture, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver).
1. Introduction to Business Analytics.
Part 1: EXPLORING DATA.
2. Describing the Distribution of a Single Variable.
3. Finding Relationships among Variables.
Part 2: PROBABILITY AND DECISION MAKING UNDER UNCERTAINTY.
4. Probability and Probability Distributions.
5. Normal, Binomial, Poisson, and Exponential Distributions.
6. Decision Making under Uncertainty.
Part 3: STATISTICAL INFERENCE.
7. Sampling and Sampling Distributions.
8. Confidence Interval Estimation.
9. Hypothesis Testing.
Part 4: REGRESSION ANALYSIS AND TIME SERIES FORECASTING.
10. Regression Analysis: Estimating Relationships.
11. Regression Analysis: Statistical Inference.
12. Time Series Analysis and Forecasting.
Part 5: OPTIMIZATION AND SIMULATION MODELING.
13. Introduction to Optimization Modeling.
14. Optimization Models.
15. Introduction to Simulation Modeling.
16. Simulation Models.
Part 6: ADVANCED DATA ANALYSIS.
17. Data Mining.
Part 7: BONUS ONLINE MATERIAL.
18. Importing Data into Excel.
19. Analysis of Variance and Experimental Design.
20. Statistical Process Control.
Appendix A: Statistical Reporting.
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S. Christian Albright
S. Christian Albright received both his B.S. degree in mathematics and his Ph.D. in operations research from Stanford. He then taught in the Operations and Decision Technologies Department in the Kelley School of Business at Indiana University until his retirement in 2011. He taught courses in management science, computer simulation and statistics to all levels of business students, including undergraduate, M.B.A. and Ph.D. students. He has published more than 20 articles in leading operations research journals in applied probability. After retiring, he worked for several years for the Palisade software company. Now living in Hilton Head, SC, he continues to revise several successful textbooks, including this edition, PRACTICAL MANAGEMENT SCIENCE and VBA FOR MODELERS.
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Wayne L. Winston
Wayne L. Winston is Professor Emeritus of Decision Sciences at the Kelley School of Business at Indiana University and is now Professor of Decision and Information Sciences at the Bauer College at the University of Houston. Dr. Winston has received more than 45 teaching awards and is a six-time recipient of the school-wide M.B.A. award. His current interest focuses on showing how to use spreadsheet models to solve business problems in all disciplines, particularly in finance, sports and marketing. In addition to publishing more than 20 articles in leading journals, Dr. Winston has written such successful textbooks, including OPERATIONS RESEARCH: APPLICATIONS AND ALGORITHMS; MATHEMATICAL PROGRAMMING: APPLICATIONS AND ALGORITHMS; SIMULATION MODELING WITH @RISK; DATA ANALYSIS FOR MANAGERS; SPREADSHEET MODELING AND APPLICATIONS; MATHLETICS, DATA ANALYSIS AND BUSINESS MODELING WITH EXCEL 2016; MARKETING ANALYTICS; and FINANCIAL MODELS USING SIMULATION AND OPTIMIZATION. Dr. Winston received his B.S. degree in mathematics from MIT and his Ph.D. in operations research from Yale.
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Highlighting Key Concepts: Critical concepts and equations are set off in boxes to make future reference easier, while margin notes and “Fundamental Insight” features emphasize the most relevant, practical information from each chapter.
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Easy-to-Follow Step-by-Step Examples: Extremely user friendly, the text includes over 130 interesting examples that draw from real business situations or events. The solution to each example is worked out in a clear, step-by-step method that uses screenshots to make it easy for students to understand and replicate.
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Advanced Statistical Emphasis: Providing the most comprehensive coverage available, BUSINESS ANALYTICS devotes three entire online chapters to advanced statistical analysis: Chapter 18, Importing Data into Excel, Chapter 19, Analysis of Variance and Experimental Design, and Chapter 20, Statistical Process Control.
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Practical Technical Tips: Integrated throughout the chapters, insightful tips help students apply chapter concepts to real-world practice. These guidelines range from general technical information to application-specific tips regarding Excel®, pivot tables, StatTools, Solver, and @RISK.
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Plenty of Conceptual Questions, Problems and Cases: BUSINESS ANALYTICS: DATA ANALYSIS & DECISION MAKING, 6E includes approximately 200 conceptual questions, 1,000 problems, and 40 cases for testing students’ mastery of the material as they progress through the course. Complete Excel®-based solutions are available for all of these conceptual questions, problems, and cases.
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Engaging Opening Vignettes: Each chapter opens with a vignette that sets the stage for learning by illustrating why the chapter’s concepts are important in a business context.
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Highlighting Key Concepts: Critical concepts and equations are set off in boxes to make future reference easier, while margin notes and “Fundamental Insight” features emphasize the most relevant, practical information from each chapter.
-
Easy-to-Follow Step-by-Step Examples: Extremely user friendly, the text includes over 130 interesting examples that draw from real business situations or events. The solution to each example is worked out in a clear, step-by-step method that uses screenshots to make it easy for students to understand and replicate.
-
Advanced Statistical Emphasis: Providing the most comprehensive coverage available, BUSINESS ANALYTICS devotes three entire online chapters to advanced statistical analysis: Chapter 18, Importing Data into Excel, Chapter 19, Analysis of Variance and Experimental Design, and Chapter 20, Statistical Process Control.
-
Practical Technical Tips: Integrated throughout the chapters, insightful tips help students apply chapter concepts to real-world practice. These guidelines range from general technical information to application-specific tips regarding Excel®, pivot tables, StatTools, Solver, and @RISK.
-
Plenty of Conceptual Questions, Problems and Cases: BUSINESS ANALYTICS: DATA ANALYSIS & DECISION MAKING, 6E includes approximately 200 conceptual questions, 1,000 problems, and 40 cases for testing students’ mastery of the material as they progress through the course. Complete Excel®-based solutions are available for all of these conceptual questions, problems, and cases.
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Engaging Opening Vignettes: Each chapter opens with a vignette that sets the stage for learning by illustrating why the chapter’s concepts are important in a business context.