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Statistics and Statistical Programming (Fall 2020)
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==== Problem sets ==== The course will include 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. For the problem sets, I ask that you submit your work [https://canvas.northwestern.edu/courses/122522/assignments via Canvas 24 hours before class] (i.e., Monday afternoon for our Tuesday class sessions). Details of exactly how this will work will be elaborated during the first class. For the programming challenges, you should submit code and text for your solutions (again, more on how later). If you get completely stuck on a problem, that's okay, but please provide whatever you have. Problem sets will be evaluated on a complete/incomplete basis. Although the problem sets will not be assigned a letter grade, they are a central focus of the course and completing them will support your mastery of the material in multiple ways. Working through them on schedule will also make it possible for you to participate in the synchronous course meetings and online discussions of course material effectively. Your ability to do so will figure prominently in your participation grade for the course (see the section on grading and assessment below).
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