This is a new approach to an introductory statistical inference textbook, motivated by probability theory as logic. It is targeted to the typical Statistics 101 college student, and covers the topics typically covered in the first semester of such a course. It is freely available under the Creative Commons License, and includes a software library in Python for making some of the calculations and visualizations easier.
Get the book
- Download the latest version of the book
- The print book is available on Amazon, or directly on Createspace
- Download the latest version of the software. It requires the installation of a scientific distribution of Python, such as the Anaconda distribution.
In the movies
- Watch the seminar I give outlining the motivation and philosophy of the book.
- Watch the eCOTS 2016 poster presentation that I gave here.
For instructors who want to see a more technical justification for this approach, you can see a technical supplement that I am putting together.
If you have any suggestions or comments, please comment here, or email me directly!