04178nam a22005535i 4500 978-3-031-42555-4 DE-He213 20251030111459.0 cr nn 008mamaa 240304s2024 sz | s |||| 0|eng d 9783031425554 978-3-031-42555-4 10.1007/978-3-031-42555-4 doi QA276-280 PBT bicssc K bicssc BUS061000 bisacsh PBT thema K thema Fraser, Cynthia. author. aut http://id.loc.gov/vocabulary/relators/aut 72386 Business Statistics for Competitive Advantage with Excel and JMP [electronic resource] : Basics, Model Building, Simulation, and Cases / by Cynthia Fraser. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XI, 285 p. 375 illus., 69 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Chapter 1. Statistics for Decision Making and Competitive Advantage -- Chapter 2. Describing Your Data -- Chapter 3, Hypothesis Tests and Confidence Intervals to Infer Population Characteristics and Differences -- Chapter 4. Simulation to Infer Future Performance Levels Given Assumptions -- Chapter 5. Simple Regression -- Chapter 6. Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression -- Chapter 7. Indicator Variables -- Chapter 8. Presenting Statistical Analysis Results to Management -- Chapter 9. Nonlinear Regression Models -- Chapter 10. Logit Regression for Bounded Dependent Variables -- Chapter 11. Building Multiple Regression Models -- Chapter 12. Model Building and Forecasting with Multicollinear Time Series -- Chapter 13. Association Between Two Categorical Variables: Contingency Analysis with Chi Square -- Chapter 14. Conjoint Analysis and Experimental Data. 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. Statistics . 65982 Management. 324 Marketing research. 57888 Business intelligence. 57215 Statistics in Business, Management, Economics, Finance, Insurance. 69738 Management. 324 Market Research and Competitive Intelligence. 68642 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031425547 Printed edition: 9783031425561 Printed edition: 9783031425578 https://doi.org/10.1007/978-3-031-42555-4 ZDB-2-SMA ZDB-2-SXMS 58093 58093