Overview
- Examines numerous real world cases, with Excel and JMP screen shots and shortcuts
- Emphasize visualization to best communicate results to audiences
- Includes Monte Carlo simulation and conjoint analysis, not covered by other business statistics texts
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About this book
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.
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
About the author
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.
Accessibility Information
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This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.
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This ebook is designed with accessibility in mind, aiming to meet the ePub Accessibility 1.0 AA and WCAG 2.0 Level AA standards. Its features include described images and other non-text content, screenreader-friendly navigation and accessible math. Math is represented either as MathML, LaTeX or in images. If math is represented as image, Alt Text might not be present. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.
Bibliographic Information
Book Title: Business Statistics for Competitive Advantage with Excel and JMP
Book Subtitle: Basics, Model Building, Simulation, and Cases
Authors: Cynthia Fraser
DOI: https://doi.org/10.1007/978-3-031-42555-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-42554-7Published: 05 March 2024
Softcover ISBN: 978-3-031-42557-8Published: 02 April 2025
eBook ISBN: 978-3-031-42555-4Published: 04 March 2024
Edition Number: 1
Number of Pages: XI, 285
Number of Illustrations: 306 b/w illustrations, 69 illustrations in colour
Topics: Statistics for Business, Management, Economics, Finance, Insurance, Management, Market Research/Competitive Intelligence