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Business statistics for competitive advantage with Excel 2019 and JMP: basics, model building, simulation and cases

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...

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Detalles Bibliográficos
Autor principal: Fraser, Cynthia
Lenguaje:eng
Publicado: Springer 2019
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-20374-0
http://cds.cern.ch/record/2691352
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author Fraser, Cynthia
author_facet Fraser, Cynthia
author_sort Fraser, Cynthia
collection CERN
description 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.
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spelling cern-26913522021-04-21T18:19:27Zdoi:10.1007/978-3-030-20374-0http://cds.cern.ch/record/2691352engFraser, CynthiaBusiness statistics for competitive advantage with Excel 2019 and JMP: basics, model building, simulation and casesMathematical Physics and MathematicsThe 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.Springeroai:cds.cern.ch:26913522019
spellingShingle Mathematical Physics and Mathematics
Fraser, Cynthia
Business statistics for competitive advantage with Excel 2019 and JMP: basics, model building, simulation and cases
title Business statistics for competitive advantage with Excel 2019 and JMP: basics, model building, simulation and cases
title_full Business statistics for competitive advantage with Excel 2019 and JMP: basics, model building, simulation and cases
title_fullStr Business statistics for competitive advantage with Excel 2019 and JMP: basics, model building, simulation and cases
title_full_unstemmed Business statistics for competitive advantage with Excel 2019 and JMP: basics, model building, simulation and cases
title_short Business statistics for competitive advantage with Excel 2019 and JMP: basics, model building, simulation and cases
title_sort business statistics for competitive advantage with excel 2019 and jmp: basics, model building, simulation and cases
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-20374-0
http://cds.cern.ch/record/2691352
work_keys_str_mv AT frasercynthia businessstatisticsforcompetitiveadvantagewithexcel2019andjmpbasicsmodelbuildingsimulationandcases