Final Assessment Notes

[pcc-git]

What to do when someone pulls out a Lavene's test of equal variance?
There appears to be some AI cheating, but even in those assessments they end up scoring low.

Separate the data wrangling assessment from an analysis question to avoid dependent errors.

Modify the data for every semester to answers will not be the same as previous years.

Most common mistakes:

1. Correctly identifying regression response and explanatory variable, plotting it correctly, then putting it in backwards in the lm() function
2. forgetting the margin= in the proportion table
3. Failure to clean blank strings

[dkpalmers]

FYI: In order for the grading/feedback bot to work, providing an answer key made a world of difference. If we change the data every semester, then we should update the answer key that we feed to the bot. (Shouldn't be a big deal as long as we remember to do it).