Overview Guide your students in mastering data analysis, modeling and the effective use of spreadsheets with Albright/Winston's popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E. This book's quantitative methods approach delivers the tools to succeed with a proven teach-by-example approach, student-friendly writing style and complete integration with the latest version of Excel. You also have the flexibility to use earlier versions of Excel. This edition is more data-oriented than ever before with a new chapter covering the two main Power BI tools in Excel -- Power Query and Power Pivot -- and a section on data visualization with Tableau Public. Current problems, cases and examples highlight the relevance of the material. In addition, a Companion Website includes data and solutions files, PowerPoint slides, SolverTable for optimization sensitivity analysis and the Palisade DecisionTools Suite. Table of Contents 1. Introduction to Business Analytics. Part 1: DATA ANALYSIS. 2. Describing the Distribution of a Variable. 3. Finding Relationships among Variables. 4. Business Intelligence (BI) Tools for Data Analysis Part 2: PROBABILITY AND DECISION MAKING UNDER UNCERTAINTY. 5. Probability and Probability 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. Analysis of Variance and Experimental Design. 19. Statistical Process Control. Appendix A: Statistical Reporting.