Running list of known to-dos

[cluhmann]

• Change boostrap function (rep_sample_n) in sampling chapter to use dplyr's slice_sample()
• Change permutation use to either modelr's resample() or rsample's permutations()
• Use tidymodels's infer() function to do hypothesis-testing
• Add data sets (NBA, bowl, book sales) somewhere so that it can be linked to for students to download.
• Strategically create "difficult" missingness. There should be at least some values that are missing that can only be imputed with uncertainty.
• Add content about RStudio's code snippets.