This is my version of the MIT statistics cheatsheet
I'm re-writting this cheatsheet in Python as a practice for both python and statistics. But I'm also adding more to the cheatsheet.
I'm planning to add caveats like:
- assumptions of those concepts (e.g. t-test assume normal distribution)
- when to use those tests (e.g. use Z test when sample size is bigger than 30)
Good luck to me!