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ims
📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference. For v1, see https://openintro-ims.netlify.app.
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textbook
The textbook Computational and Inferential Thinking: The Foundations of Data Science (by data-8)
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jasp-desktop
JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS
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statistical-rethinking
A repository for working through the Bayesian statistics book "Statistical Rethinking" by Richard McElreath.
I think those short courses would be more effective if they didn't bother with ANOVA and instead taught intro probability and distributions and then jumped straight to regression. ANOVA is just a really specific way of doing a regression.
In R, and python::statsmodels you get the answer to (essentially) an ANOVA any time you run an LM or GLM; its the Z-statistic for your whole model.
I know there is more nuance to this, but teaching students that they can use regression for most of the problems they would have used seemingly arcane tests for is going to be much more useful for the students.
Here is a lovely page demonstrating how to do this in R: https://lindeloev.github.io/tests-as-linear/
Hmmm ... must be because the 2nd edition is still in progress. Best option might be to follow the immortal words of Obiwan Kenobi and "use the source": https://github.com/OpenIntroStat/ims
Otherwise you can try building a PDF from the very similar Data 8 book[1] using [2]
[1]: https://github.com/data-8/textbook
[2]: https://jupyterbook.org/en/stable/advanced/pdf.html
Hmmm ... must be because the 2nd edition is still in progress. Best option might be to follow the immortal words of Obiwan Kenobi and "use the source": https://github.com/OpenIntroStat/ims
Otherwise you can try building a PDF from the very similar Data 8 book[1] using [2]
[1]: https://github.com/data-8/textbook
[2]: https://jupyterbook.org/en/stable/advanced/pdf.html
Even better than just being "free to use" it's F/OSS (under the AGPL):
https://github.com/jasp-stats/jasp-desktop
For studying statistics, I put together a comprehensive cheat sheet: https://github.com/mavam/stat-cookbook
With all due respect, how hard did you look?
This is the third result from a query I ran:
https://github.com/Booleans/statistical-rethinking/blob/mast...
Main repo w/ some notebooks: https://github.com/Booleans/statistical-rethinking