Business Statistics for Competitive Advantage with Excel and JMP : Basics, Model Building, Simulation, and Cases / by Cynthia Fraser.

Format:

Book

Author/Creator:

Fraser, Cynthia, author.

Language:

English

Subjects (All):

Statistics.

Management.

Marketing research.

Business intelligence.

Statistics in Business, Management, Economics, Finance, Insurance.

Market Research and Competitive Intelligence.

Local Subjects:

Statistics in Business, Management, Economics, Finance, Insurance.

Management.

Market Research and Competitive Intelligence.

Physical Description:

1 online resource (291 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

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.

Contents:

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.

Notes:

Includes index.

ISBN:

9783031425554

3031425553