Henderson’s Statistics Notes for Data Science
Introduction
This book serves as a companion for students in the SMU Master of Science in Data Science program, specifically for the Statistical Foundations and Applied Statistics courses. It is designed to summarize both the theoretical understanding and practical applications of statistical methods.
Book Structure
- Part 1: Statistical Foundations: Covers the theoretical groundwork.
- Part 2: Applied Statistics: Focuses on real-world statistical applications.
License
This book is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
All code examples are licensed under the MIT License.
Software and Output
This book includes example output from SAS® and R, generated using instructional or simulated datasets. These outputs are used solely for teaching and demonstration purposes. SAS is a registered trademark of SAS Institute Inc., and R is open-source software licensed under the GNU General Public License.
Acknowledgments
I thank Dr. Sadler and Dr. Turner for the lectures and course materials that formed the basis of these notes; any errors are my own. I also thank Dr. Sadler for suggesting that I compile these notes into a book.