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Business Analytics Data Analysis & Decision Making 2018 Edition at Meripustak

Business Analytics Data Analysis & Decision Making 2018 Edition by S. Albright, Wayne Winston , Cengage

Books from same Author: S. Albright, Wayne Winston

Books from same Publisher: Cengage

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  • General Information  
    Author(s)S. Albright, Wayne Winston
    PublisherCengage
    ISBN9781305947542
    Pages984
    BindingHardback
    LanguageEnglish
    Publish YearFebruary 2018

    Description

    Cengage Business Analytics Data Analysis & Decision Making 2018 Edition by S. Albright, Wayne Winston

    Become a master of data analysis, modeling, and spreadsheet use with BUSINESS 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)._x000D_ Table of Contents :- _x000D_ 1. Introduction to Business Analytics._x000D_ Part 1: EXPLORING DATA._x000D_ 2. Describing the Distribution of a Single Variable._x000D_ 3. Finding Relationships among Variables._x000D_ Part 2: PROBABILITY AND DECISION MAKING UNDER UNCERTAINTY._x000D_ 4. Probability and Probability Distributions._x000D_ 5. Normal, Binomial, Poisson, and Exponential Distributions._x000D_ 6. Decision Making under Uncertainty._x000D_ Part 3: STATISTICAL INFERENCE._x000D_ 7. Sampling and Sampling Distributions._x000D_ 8. Confidence Interval Estimation._x000D_ 9. Hypothesis Testing._x000D_ Part 4: REGRESSION ANALYSIS AND TIME SERIES FORECASTING._x000D_ 10. Regression Analysis: Estimating Relationships._x000D_ 11. Regression Analysis: Statistical Inference._x000D_ 12. Time Series Analysis and Forecasting._x000D_ Part 5: OPTIMIZATION AND SIMULATION MODELING._x000D_ 13. Introduction to Optimization Modeling._x000D_ 14. Optimization Models._x000D_ 15. Introduction to Simulation Modeling._x000D_ 16. Simulation Models._x000D_ Part 6: ADVANCED DATA ANALYSIS._x000D_ 17. Data Mining._x000D_ Part 7: BONUS ONLINE MATERIAL._x000D_ 18. Importing Data into Excel._x000D_ 19. Analysis of Variance and Experimental Design._x000D_ 20. Statistical Process Control._x000D_ Appendix A: Statistical Reporting._x000D_



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