Hi @callum,
Welcome to the discourse, and thanks for engaging with and planning to contribute to stdlib!
Correct, there are PR286 and PR278 that are already fairly complete and just require some edits to bring them up to modern stdlib standards. I’ll happily review any PRs you submit on the stats side of stdlib and offer advice along the way.
Student’s t and F distributions functions would be very valuable, as they’d pave the way to the implementation of the most common statistical tests. Even if the tests themselves should be deemed outside the scope of stdlib, I think very common/basic distributions like t and F do have a place next to currently covered distributions (normal, exponential, and uniform).
The relatively modest stats modules have been touched on in @loiseaujc’s post, for example:
scipy.stats:stdlibprovides some support for the uniform and Gaussian distribution, but it is nowhere as feature-complete as this scipy module.
I think any enhancement of these would be welcome by many.