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Business Analytics "Data Analysis and Decision Making"

Business Analytics "Data Analysis and Decision Making"

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  • ISBN:9780357109953
  • Editorial: Cengage Learning Inc
  • Fecha de la edición:
  • Número de la edición: 7
  • Encuadernación:
  • Nº Pág.:985
  • Idiomas:Ingles,Inglés

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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. MindTap digital resources are also available.

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.

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