Business Statistics for Competitive Advantage with Excel 2019 and JMP
Basics, Model Building, Simulation and Cases
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Beschreibung
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
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.
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.
Autor*in
Cynthia Fraser
Themen in »Business Statistics for Competitive Advantage with Excel 2019 and JMP«
Business Statistics Excel Excel 2019 Financial Statistics Regression Modeling Statistics for business Nonlinear regression Inference JMP Simulation Forecasting Conjoint Analysis