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2019, ISBN: 9783030203733
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2019, ISBN: 9783030203733
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2019, ISBN: 3030203735
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Business Statistics for Competitive Advantage with Excel 2019 and JMP: Basics, Model Building, Simulation and Cases - Paperback
2019, ISBN: 3030203735
[EAN: 9783030203733], New book, [SC: 7.13], [PU: Springer], pp. 432, Books
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2019, ISBN: 9783030203733
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Fraser, Cynthia:
Business Statistics for Competitive Advantage with Excel 2019 and JMP: Basics, Model Building, Simulation and Cases - First edition2019, ISBN: 9783030203733
Paperback
Springer, Paperback, Auflage: 1st ed. 2019, 429 Seiten, Publiziert: 2019-08-13T00:00:01Z, Produktgruppe: Book, 0.97 kg, Econometrics, Economics, Business, Finance & Law, Subjects, Books, … More...
2019
ISBN: 9783030203733
*Business Statistics for Competitive Advantage with Excel 2019 and JMP* - Basics Model Building Simulation and Cases. 1st ed. 2019 / Taschenbuch für 106.99 € / Aus dem Bereich: Bücher, Wi… More...
Business Statistics for Competitive Advantage with Excel 2019 and JMP: Basics, Model Building, Simulation and Cases - Paperback
2019, ISBN: 3030203735
[EAN: 9783030203733], New book, [SC: 26.94], [PU: Springer], In Never used condition, Books
Business Statistics for Competitive Advantage with Excel 2019 and JMP: Basics, Model Building, Simulation and Cases - Paperback
2019, ISBN: 3030203735
[EAN: 9783030203733], New book, [SC: 7.13], [PU: Springer], pp. 432, Books
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The revised Fifth Edition of this popular textbook is redesigned with Excel 2019 and the new inclusion of interactive, user-friendly JMP to encourage business students to develop competitive advantages for use in their future careers. 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.
For access to accompanying data sets, please email author Cynthia Fraser at cfg8q@virginia.edu.
Details of the book - Business Statistics for Competitive Advantage with Excel 2019 and JMP: Basics, Model Building, Simulation and Cases
EAN (ISBN-13): 9783030203733
ISBN (ISBN-10): 3030203735
Paperback
Publishing year: 2019
Publisher: Springer
Book in our database since 2019-04-23T15:26:55+01:00 (London)
Detail page last modified on 2024-01-03T21:55:43+00:00 (London)
ISBN/EAN: 3030203735
ISBN - alternate spelling:
3-030-20373-5, 978-3-030-20373-3
Alternate spelling and related search-keywords:
Book title: excel 2019, statistics for business, business advantage, model building, model cases
Information from Publisher
Author: Cynthia Fraser
Title: Business Statistics for Competitive Advantage with Excel 2019 and JMP - Basics, Model Building, Simulation and Cases
Publisher: Springer; Springer International Publishing
417 Pages
Publishing year: 2019-08-13
Cham; CH
Printed / Made in
Language: English
117,69 € (DE)
120,99 € (AT)
130,00 CHF (CH)
POD
XII, 417 p. 345 illus., 341 illus. in color.
BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Business Statistics; Excel; Excel 2019; Financial Statistics; Regression Modeling; Statistics for business; Nonlinear regression; Inference; JMP; Simulation; Forecasting; Conjoint Analysis; Statistics in Business, Management, Economics, Finance, Insurance; Management; Market Research and Competitive Intelligence; Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management; Management und Managementtechniken; Marktforschung; EA
The revised Fifth Edition of this popular textbook is redesigned with Excel 2019 and the new inclusion of interactive, user-friendly JMP to encourage business students to develop competitive advantages for use in their future careers. 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.
For access to accompanying data sets, please email author Cynthia Fraser at cfg8q@virginia.edu.
Cynthia Fraser Decision Science, Management Science, Journal of Marketing, Journal of Consumer Research, Psychology and Marketing, Journal of International Business Studies, Journal of Applied Social Psychology.The revised Fifth Edition of this popular textbook is redesigned with Excel 2019 and the new inclusion of interactive, user-friendly JMP to encourage business students to develop competitive advantages for use in their future careers. 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 complementaryuse of regression and JMP
Emphasizes case studies throughout, including some from multinational corporations, connecting theory with industry. Uses Excel shortcuts throughout, with an Excel section at the end of each chapter featuring screenshots, so that readers can replicate. Features interactive JMP in cases where Excel cannot produce the desired statistics. JMP sections at the end of relevant chapters include screenshots, so that readers can replicate. Focuses on presentation of results throughout, using compelling graphics; includes a chapter guiding PowerPoint and memo design. Features special topics that are not generally in competing texts: Monte Carlo simulation, logit regression, and conjoint analysis.
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