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Business statistics for competitive ...

Fraser, Cynthia.

Business statistics for competitive advantage with Excel 2019 and JMPbasics, model building, simulation and cases /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Business statistics for competitive advantage with Excel 2019 and JMPby Cynthia Fraser.
Reminder of title:	basics, model building, simulation and cases /
Author:	Fraser, Cynthia.
Published:	Cham :Springer International Publishing :2019.
Description:	xii, 417 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Commercial statistics.
Online resource:	https://doi.org/10.1007/978-3-030-20374-0
ISBN:	9783030203740$q(electronic bk.)

Business statistics for competitive advantage with Excel 2019 and JMPbasics, model building, simulation and cases /
Fraser, Cynthia.

Business statistics for competitive advantage with Excel 2019 and JMPbasics, model building, simulation and cases /[electronic resource] :by Cynthia Fraser. - Cham :Springer International Publishing :2019. - xii, 417 p. :ill., digital ;24 cm.

1. Statistics for Decision Making and Competitive Advantage -- 2. Describing your Data -- 3 Hypothesis Tests and Confidence Intervals to Infer Population Characteristics and Differences -- 4. Simulation to Infer Future Performance Levels Given Assumptions -- 5. Simple Regression for Long Range Forecasts -- 6. Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression -- 7. Indicator Variables -- 8. Presenting Statistical analysis Results to Management -- 9. Nonlinear Regression Models -- 10. Logit Regression for Bounded Dependent Variables -- 11. Building Multiple Regression Models -- 12. Model Building and Forecasting with Multicollinear Time Series.-13. Association between Two Categorical Varaibles: Contingency Analysis with Chi Square -- 14. Conjoint Analysis and Experimental Data.

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.

ISBN: 9783030203740$q(electronic bk.)

Standard No.: 10.1007/978-3-030-20374-0doiSubjects--Uniform Titles:

Microsoft Excel (Computer file)
Subjects--Topical Terms:

182274
Commercial statistics.

LC Class. No.: HF1017 / .F737 2019

Dewey Class. No.: 519.5

Business statistics for competitive advantage with Excel 2019 and JMPbasics, model building, simulation and cases /
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505 0 $a 1. Statistics for Decision Making and Competitive Advantage -- 2. Describing your Data -- 3 Hypothesis Tests and Confidence Intervals to Infer Population Characteristics and Differences -- 4. Simulation to Infer Future Performance Levels Given Assumptions -- 5. Simple Regression for Long Range Forecasts -- 6. Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression -- 7. Indicator Variables -- 8. Presenting Statistical analysis Results to Management -- 9. Nonlinear Regression Models -- 10. Logit Regression for Bounded Dependent Variables -- 11. Building Multiple Regression Models -- 12. Model Building and Forecasting with Multicollinear Time Series.-13. Association between Two Categorical Varaibles: Contingency Analysis with Chi Square -- 14. Conjoint Analysis and Experimental Data.
520 $a 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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