| Document Type
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BL
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| Record Number
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844578
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| Main Entry
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Camm, Jeffrey D.,1958-
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| Title & Author
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Business analytics /\ Jeffrey Camm (Wake Forest University) [and six others].
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| Edition Statement
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Third edition.
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| Publication Statement
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Boston, MA, USA :: Cengage,, [2019]
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, ©2019
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| Page. NO
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xxvii, 786 pages :: color illustrations ;; 29 cm
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| ISBN
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1337406422
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: 9781337406420
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| Notes
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Previous edition: Australia: Cengage Learning, 2017.
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| Bibliographies/Indexes
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Includes bibliographical references (pages 774-775) and index.
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| Contents
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Introduction -- Descriptive Statistics -- Data Visualization -- Descriptive Data Mining -- Probability: An Introduction to Modeling Uncertainty -- Statistical Inference -- Linear Regression -- Time Series Analysis and Forecasting -- Predictive Data Mining -- Spreadsheet Models -- Monte Carlo Simulation -- Linear Optimization Models -- Integer Linear Optimization Models -- Nonlinear Optimization Models -- Decision Analysis -- Basics of Excel -- Database Basics with Microsoft Access -- Solutions to Even-Numbered Questions (MindTap Reader).
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| Abstract
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"Cover the full range of analytics --from descriptive and predictive to prescriptive analytics -- with Camm/Cochran/Fry/Ohlmann/Anderson/Sweeney/Williams' market-leading BUSINESS ANALYTICS, 3E. Clear, step-by-step instructions help students learn how to use Excel as well as powerful, but easy-to-use software, such as JMP Pro and the Excel Add-in Analytic Solver. The authors introduce students to more advanced analytics concepts while giving you, the instructor, the freedom to choose your preferred software for teaching the concepts. Extensive solutions to problems and cases save you time in grading and helping students master the material. In addition, MindTap customizable digital course solution offers an interactive eBook, auto graded exercises from the book, algorithmic practice problems with solutions and Exploring Analytics visualizations to strengthen understanding of course concepts." -- Publisher's description.
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| Subject
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Decision making-- Computer programs.
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Decision making-- Mathematical models.
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| Subject
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Industrial management-- Statistical methods-- Computer programs.
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| Subject
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Decision making-- Computer programs.
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| Subject
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Decision making-- Mathematical models.
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| Subject
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Industrial management-- Statistical methods-- Computer programs.
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| Dewey Classification
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658.4033
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| LC Classification
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HD30.23.C35 2019
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| Cover Title
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Business analytics :descriptive, predictive, prescriptive
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