If you are teaching statistics and using jamovi, or are interested in making the switch to jamovi, then please feel free to get in touch with me if you are interested in teaching materials. Below is a syllabus for introductory statistics with links to all learning materials. Lecture slides for weeks 6-8 are currently unavailable, and I plan to revise the practical content for Week 10.

If you want use this material for your own teaching and let me know, then I will prioritise getting the remaining Week 6-8 lecture slides up and online (I also have some video lectures made).

Note that PPTX slides are designed for maximal accessibility with alt images and colours that get perfect accessibility scores on the Canvas learning management system. Images to get the Rmd files to knit are available here. All relevant files are publicly accessible on GitHub (https://github.com/bradduthie/stats_teaching).


Week 1: Background mathematics and data organisation


Week 2: Statistical concepts


Week 3: Summary statistics


Week 4: Probability models and the central limit theorem


Week 5: Statistical inference


Week 6: Hypothesis testing


Week 7: Analysis of Variance


Week 8: Counts and correlation


Week 9: Linear Regression


Week 10: Randomisation


I am planning to develop a jamovi module for the Week 11 content on randomisation approaches to statistical hypothesis testing. The R code that I have for assessments can generate custom datasets with statistical properties customised for each test or exam, meaning that any number of unique datasets can be created (e.g., one for each student with unique correct answers). I also have Rmarkdown scripts that can produce custom feedback reports for each student (this might need to be modified before use).