Business Statistics for Competitive Advantage with Excel 2019 and JMP Basics Model Building Simulation and Cases 1st edition by Cynthia Fraser ISBN 3031425554 9783031425554

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Product details:

ISBN 10: 3031425554
ISBN 13: 9783031425554
Author: Cynthia Fraser

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.

Business Statistics for Competitive Advantage with Excel 2019 and JMP Basics Model Building Simulation and Cases 1st Table of contents:

1. Analytics for Description

2. Analytics to Infer Population Characteristics and Differences

3. Association Between Categorical Variables: Contingency Analysis with Chi Square

4. Analytics with Simple Regression to Identify Drivers and Forecast

5. Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression

6. Analytics to Account for Segment or Scenario Differences

7. Analytics to Model Nonlinear Response

8. Building Multiple Regression Models

9. Conjoint Analysis and Experimental Data

10. Explanatory Time Series Models

11. Analytics to Simulate Likely Outcomes

Back Matter

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Tags: Cynthia Fraser, Business Statistics, Competitive Advantage, Model Building