Reading 15 posted
Dear all,
It’s a little later than I initially wanted, but Reading 15 is finally posted on the course website. In addition to a selection from the stats textbook, I have also uploaded writeups about two additional ways to represent single variable data distributions (the probability mass function and the cumulative distribution function). The writeups are a derivative work of two sections from another stats/data science textbook1 that does a good job explaining these data representations, but the code was in Python. In addition to changing all the code snippets, I’ve expanded on some of the explanations, revised other parts, and deleted a couple of other parts so that the discussions remain relevant to our course work. There are many examples of R code, so I recommend carefully reading through it.
Here is a summary of the due dates for Reading 15:
- Read by the end of the day on Tuesday, October 31
- Post 2 questions by the end of the day on Wednesday, November 1
- Post 1 answer by the end of the day on November 7
- Link to discussion thread for Reading 15
Sincerely,
Dr. Glasbrenner
In case you’re wondering whether doing something like this is legal, the original textbook was released under a CC BY-NC-SA license. This Creative Commons license permits anyone to adapt the work as they see fit so long as they follow the rules of the license.↩