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Business Statistics for Competitive Advantage With Excel and Jmp: Basics, Model Building, Simulation, and Cases - Couverture rigide
Synopsis
This book is the latest title of the popular Excel textbook; redesigned, while including interactive, user-friendly JMP to encourage business students to develop competitive advantages for use in their future careers. How can performance outcome drivers be identified? How can performance outcomes be forecast? Use of regression, conjoint analysis, Monte Carlo simulation provide answers and solutions for specific scenarios. Students learn to build models, produce statistics, and translate results into implications for decision makers.
The text features new and updated examples and assignments, and each chapter discusses a focal case from the business world which can be analyzed using the statistical strategies and software provided in the text. Paralleling recent interest in climate change and sustainability, new case studies concentrate on issues such as the impact of drought on business, automobile emissions, and sustainable package goods.
The book continues its coverage of inference, Monte Carlo simulation, contingency analysis, and linear and nonlinear regression. A new chapter is dedicated to conjoint analysis design and analysis, including complementary use of regression and JMP.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l'auteur
Cynthia Fraser has over 21 years experience, as a member of the Marketing faculty at The McIntire School of Commerce, University of Virginia, where she teaches business statistics. Her research has appeared in a number of journals, including Decision Science, Management Science, Journal of Marketing, Journal of Consumer Research, Psychology and Marketing, Journal of International Business Studies, and Journal of Applied Social Psychology.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Business Statistics for Competitive Advantage with Excel and JMP (eng)
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Etat : new. Questo è un articolo print on demand. N° de réf. du vendeur 36MACLKBUU
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Business Statistics for Competitive Advantage With Excel and Jmp : Basics, Model Building, Simulation, and Cases
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Business Statistics for Competitive Advantage With Excel and Jmp : Basics, Model Building, Simulation, and Cases
Edité par
Springer, 2024
ISBN 10 : 3031425545
ISBN 13 : 9783031425547
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Business Statistics for Competitive Advantage With Excel and Jmp : Basics, Model Building, Simulation, and Cases
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Business Statistics for Competitive Advantage with Excel and JMP: Basics, Model Building, Simulation, and Cases
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Business Statistics for Competitive Advantage with Excel and JMP
Edité par
Springer International Publishing AG, CH, 2024
ISBN 10 : 3031425545
ISBN 13 : 9783031425547
Neuf
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Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
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Hardback. Etat : New. 2024 ed. This book is the latest title of the popular Excel textbook; redesigned, while including interactive, user-friendly JMP to encourage business students to develop competitive advantages for use in their future careers. How can performance outcome drivers be identified? How can performance outcomes be forecast? Use of regression, conjoint analysis, Monte Carlo simulation provide answers and solutions for specific scenarios. Students learn to build models, produce statistics, and translate results into implications for decision makers.The text features new and updated examples and assignments, and each chapter discusses a focal case from the business world which can be analyzed using the statistical strategies and software provided in the text. Paralleling recent interest in climate change and sustainability, new case studies concentrate on issues such as the impact of drought on business, automobile emissions, and sustainable package goods.The book continues its coverage of inference, Monte Carlo simulation, contingency analysis, and linear and nonlinear regression. A new chapter is dedicated to conjoint analysis design and analysis, including complementary use of regression and JMP. N° de réf. du vendeur LU-9783031425547
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Business Statistics for Competitive Advantage With Excel and Jmp : Basics, Model Building, Simulation, and Cases
Edité par
Springer, 2024
ISBN 10 : 3031425545
ISBN 13 : 9783031425547
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 47456489
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Business Statistics for Competitive Advantage with Excel and JMP
Edité par
Springer, Springer International Publishing Mär 2024, 2024
ISBN 10 : 3031425545
ISBN 13 : 9783031425547
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is the latest title of the popular Excel textbook; redesigned, while including interactive, user-friendly JMP to encourage business students to develop competitive advantages for use in their future careers. How can performance outcome drivers be identified How can performance outcomes be forecast Use of regression, conjoint analysis, Monte Carlo simulation provide answers and solutions for specific scenarios. Students learn to build models, produce statistics, and translate results into implications for decision makers.The text features new and updated examples and assignments, and each chapter discusses a focal case from the business world which can be analyzed using the statistical strategies and software provided in the text. Paralleling recent interest in climate change and sustainability, new case studies concentrate on issues such as the impact of drought on business, automobile emissions, and sustainable package goods.The book continues its coverage of inference, Monte Carlo simulation, contingency analysis, and linear and nonlinear regression. A new chapter is dedicated to conjoint analysis design and analysis, including complementary use of regression and JMP. 300 pp. Englisch. N° de réf. du vendeur 9783031425547
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Business Statistics for Competitive Advantage with Excel and JMP
Edité par
Springer Nature Switzerland, 2024
ISBN 10 : 3031425545
ISBN 13 : 9783031425547
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Vendeur : moluna, Greven, Allemagne
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Examines numerous real world cases, with Excel and JMP screen shots and shortcutsEmphasize visualization to best communicate results to audiencesIncludes Monte Carlo simulation and conjoint analysis, not covered by other business statistics. N° de réf. du vendeur 959198565
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Business Statistics for Competitive Advantage with Excel and JMP : Basics, Model Building, Simulation, and Cases
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Palgrave Macmillan, 2024
ISBN 10 : 3031425545
ISBN 13 : 9783031425547
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Etat : Hervorragend. Zustand: Hervorragend | Seiten: 300 | Sprache: Englisch | Produktart: Bücher | This book is the latest title of the popular Excel textbook; redesigned, while including interactive, user-friendly JMP to encourage business students to develop competitive advantages for use in their future careers. How can performance outcome drivers be identified? How can performance outcomes be forecast? Use of regression, conjoint analysis, Monte Carlo simulation provide answers and solutions for specific scenarios. Students learn to build models, produce statistics, and translate results into implications for decision makers.The text features new and updated examples and assignments, and each chapter discusses a focal case from the business world which can be analyzed using the statistical strategies and software provided in the text. Paralleling recent interest in climate change and sustainability, new case studies concentrate on issues such as the impact of drought on business, automobile emissions, and sustainable package goods.The book continues its coverage of inference, Monte Carlo simulation, contingency analysis, and linear and nonlinear regression. A new chapter is dedicated to conjoint analysis design and analysis, including complementary use of regression and JMP. N° de réf. du vendeur 42819956/1
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