LEADER 04111nam  22006255  450 
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010   $a9783031425554
010   $a3031425553
024 7 $a10.1007/978-3-031-42555-4
035   $a(CKB)30764955800041
035   $a(MiAaPQ)EBC31200697
035   $a(Au-PeEL)EBL31200697
035   $a(MiAaPQ)EBC31203794
035   $a(Au-PeEL)EBL31203794
035   $a(DE-He213)978-3-031-42555-4
035   $a(EXLCZ)9930764955800041
100   $a20240304d2024      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aBusiness Statistics for Competitive Advantage with Excel and JMP $eBasics, Model Building, Simulation, and Cases /$fby Cynthia Fraser
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (291 pages)
300   $aIncludes index.
311 08$a9783031425547 
311 08$a3031425545 
327   $aChapter 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.
330   $aThis 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.
606   $aStatistics
606   $aManagement
606   $aMarketing research
606   $aBusiness intelligence
606   $aStatistics in Business, Management, Economics, Finance, Insurance
606   $aManagement
606   $aMarket Research and Competitive Intelligence
615  0$aStatistics.
615  0$aManagement.
615  0$aMarketing research.
615  0$aBusiness intelligence.
615 14$aStatistics in Business, Management, Economics, Finance, Insurance.
615 24$aManagement.
615 24$aMarket Research and Competitive Intelligence.
676   $a658.4033
700   $aFraser$b Cynthia$0475288
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910842282603321
996   $aBusiness Statistics for Competitive Advantage with Excel and JMP$94404531
997   $aUNINA