Editing Statistics and Statistical Programming (Winter 2021) (section)

=== Problem Sets===

In order to support continuous progress towards the learning goals for the course, I have assigned problem sets for each class. These problem sets include some textbook exercises, some programming challenges, and some other questions.

Problem sets and these may incorporate several kinds of questions:

* '''Statistics questions''' about statistical concepts and principles.
* '''Programming challenges''' that you should solve using R.
* '''Empirical paper questions''' about other assigned readings. 
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Although you will never hand these in to be graded, I will ''randomly'' call on students to share your answers to these questions and I will assess your preparedness after every single class meeting. I will ''not'' grade you on whether you get these answers correct or incorrect. Although the problem sets will not be assigned a letter grade, they are the central focus of the course and completing them will support your mastery of the material in multiple ways. These assignments will provide the basis on which I will assess and provide feedback on your participation and engagement with the course material.

For the programming challenges, be ready to share code and text for your solutions via screen share. If you get completely stuck on a problem, that's okay, but be ready to provide whatever you have and describe what tripped you up. In general, we will cover the problem sets in the first session of the week and the textbook materials in the second session.