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Business Statistics and Analytics: A Comprehensive Foundation for Modern Decision-Making


Business Analytics

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Business Statistics and Analytics: A Comprehensive Foundation for Modern Decision-Making

Ronald M. Miller, PhD
Bonnie C. Allred Dalley
Megan Costantino

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Table of Contents

Chapter 1: Introduction: The Strategic Imperative of Statistical Literacy
Chapter 2: Probability Foundations for Business Analytics
Chapter 3: The T-Test: The Engine of Business Inference
Chapter 4: One-Way ANOVA–The Engine of Business Experimentation
Chapter 5: Two-Way ANOVA: Understanding How Multiple Factors Work Together
Chapter 6: Repeated-Measures ANOVA: Tracking Change Within Subjects
Chapter 7: Mixed-Factorial ANOVA: Combining Between- and Within-Subjects Designs
Chapter 8: Correlation and Simple Linear Regression: Measuring and Predicting Relationships in Business Data
Chapter 9: TBD
Chapter 10: TBD
Appendix A: R and RStudio
Appendix B: Python
Appendix C: Power Analysis and Sample Size Planning

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