S. Albright, Wayne Winston

Business Analytics

Data Analysis & Decision Making

• Gebundenes Buch

Produktbeschreibung

Master data analysis, modeling and the effective use of spreadsheets with the popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E. The quantitative methods approach in this edition helps you maximize your success with a proven teach-by-example presentation, inviting writing style and complete integration of the latest version of Excel. The approach is also compatible with earlier versions of Excel for your convenience. This edition is more data-oriented than ever before with a new chapter on the two main Power BI tools in Excel -- Power Query and Power Pivot -- and a new section of data visualization with Tableau Public. Current problems and cases demonstrate the importance of the concepts you are learning. In addition, a useful Companion Website provides data and solutions files, SolverTable for optimization sensitivity analysis and Palisade DecisionTools Suite. MindTap online resources are also available.

Produktdetails

• Verlag: Cengage Learning EMEA / South-Western College Pub
• 7. Aufl.
• Seitenzahl: 984
• Erscheinungstermin: 2. April 2019
• Englisch
• Abmessung: 282mm x 217mm x 37mm
• Gewicht: 2098g
• ISBN-13: 9780357109953
• ISBN-10: 0357109953
• Artikelnr.: 54801356

Autorenporträt

S. Christian Albright received both his B.S. degree in mathematics and his Ph.D. in operations research from Stanford University. 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 has 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 and is the author of several successful textbooks.

Inhaltsangabe

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 AnalysisPart 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.