Business analytics data analysis & decision making
By: Albright, S. Christian
Title By: Winston, Wayne L
Material type:
BookPublisher: Boston, USA : Cengage Learning, c2017.Edition: 6th ed.Description: xxv, 952 p. : ill. ; 27 cm.ISBN: 978-1305947542Program: MBAS904Subject(s): Microsoft Excel (Computer file)DDC classification: 0
| Item type | Home library | Call number | Status | Date due | Barcode | Item holds | Course reserves |
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| REGULAR | University of Wollongong in Dubai Main Collection | 658.40300285554 AL BU (Browse shelf) | Available | T0054704 |
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| 658.403 WA QU Quantitative methods for business / | 658.403 ZH DA Data envelopment analysis : let the data speak for themselves | 658.4030015118 DE CI Decision models in engineering and management | 658.40300285554 AL BU Business analytics data analysis & decision making | 658.40301 DE CI Decision making theories and practices from analysis to strategy / | 658.40301 KR UN Uncertainty and behaviour : perceptions, decisions and actions in business | 658.40301 MO DA Data-driven organization design : sustaining the competitive edge through organizational analytics / |
ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 6E! This popular quantitative methods text helps you maximize your success 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.) The text devotes three online chapters to advanced statistical analysis. Chapters on data mining and importing data into Excel emphasize tools commonly used under the Business Analytics umbrella -- including Microsoft Excel's "Power BI" suite. Up-to-date problem sets and cases demonstrate how chapter concepts relate to real-world practice. In addition, the Companion Website includes data and solutions files, PowerPoint slides, SolverTable for sensitivity analysis, 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.
MBAS904