Business Analytics: Data Analysis & Decision Making by Albright, S. Christian�

Description: About this productProduct InformationBecome a master of data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 5E! This quantitative methods text provides users with the tools to succeed with a teach-by-example approach, student-friendly writing style, and complete Excel 2013 integration. It is also compatible with Excel 2010 and 2007. Problem sets and cases provide realistic examples to show the relevance of the material. The Companion Website includes: the Palisade DecisionTools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); SolverTable, which allows you to do sensitivity analysis; data and solutions files, PowerPoint slides, and tutorial videos.Product IdentifiersPublisherCengage South-WesternISBN-101133629601ISBN-139781133629603eBay Product ID (ePID)111987107Product Key FeaturesAuthorWayne L. Winston, S. Christian AlbrightPublication NameBusiness Analytics : Data Analysis and Decision MakingFormatHardcoverLanguageEnglishPublication Year2014TypeTextbookNumber of Pages1008 PagesDimensionsItem Length10.2in.Item Height1.6in.Item Width8.3in.Item Weight68.1 OzAdditional Product FeaturesLc Classification NumberHd30.215.A37 2014Edition Number5Table of Content1. Introduction to Data Analysis and Decision Making. 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.Copyright Date2015Target AudienceCollege AudienceTopicInternet / General, Certification Guides / General, General, Computer Literacy, StatisticsDewey Decimal658.40300285554Dewey Edition23GenreComputers, Education, Business & Economics

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