Introduction
This is a first-year, post-secondary course on probability and statistics. The course is offered as STAT 1201: Introduction to Probability and Statistics at Thompson Rivers University, Open Learning. It is based on the open educational resource, OpenIntro Statistics by David Diez, Mine Çetinkaya-Rundel, and Christopher D. Barr (2019) CC BY-SA 3.0.
Let’s start by watching the video The NBA Data Scientist (Bloomberg Originals, 2019) for a compelling example of why you should study statistics (duration 00:08:05):
The course is organized into six units each of which is organized into three or four lessons. Each lesson includes:
- Learning objectives
- A checklist of learning activities
- Suggested readings in OpenIntro Statistics (Diez et al., 2019) CC BY-SA 3.0.
- Embedded instructional videos to reinforce your learning
- A virtual statistical software lab based on jamovi (The jamovi Project, 2022), which is free and open statistical software built on top of the R statistical language
- Practice exercises from OpenIntro Statistics (Diez et al., 2019) CC BY-SA 3.0 and WeBWorK.
- Suggested websites to complement the readings
- Supplementary notes
The course STAT 1201: Introduction to Probability and Statistics also includes graded assessments: lesson check-in questions, virtual statistical software lab questions, unit assignments, a midterm exam, and a final exam. These assessments are only accessible to students registered in the STAT 1201 course.
References
Bloomberg Originals. (2019, May 17). The NBA data scientist [Video]. YouTube. https://youtu.be/MpLHMKTolVw
Diez, D. M., Çetinkaya-Rundel, M., Barr, C. D. (2019). OpenIntro Statistics (4th ed.). OpenIntro. https://www.openintro.org/book/os/
The jamovi Project. (2022). jamovi (Version 2.3) [Computer Software]. https://www.jamovi.org
