Statistics education is undergoing a bit of a revolution, driven by the accessibility of computers. For example, hypothesis testing is introduced by randomization[1], using a randomized permutation test[2]. I find this really easy to understand, compared to how I learned statistics using a more traditional approach. The traditional approach taught be a cookbook of hypothesis tests to use: use the t-test in this situation, use the chi-squared in this situation, and so on. I never gained any understanding of why I should use these different tests, or where they came from, from the cookbook approach.
For the same approach in a slightly different context see [3].
For the same approach in a slightly different context see [3].
[1]: https://openintro-ims2.netlify.app/11-foundations-randomizat...
[2]: https://en.wikipedia.org/wiki/Permutation_test
[3]: https://inferentialthinking.com/chapters/11/1/Assessing_a_Mo...