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Statistics and Statistical Programming (Fall 2020)
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=== Week 3 (9/29, 10/1) === ;[[Statistics_and_Statistical_Programming_(Fall_2020)/w03_session_plan|Session plans]] ==== September 29: R fundamentals: Import, transform, tidy, and describe data ==== '''Required''' * Complete [[Statistics_and_Statistical_Programming_(Fall_2020)/pset1|problem set #1]] (due Monday, September 28 at 1pm Central) '''Recommended''' * [https://communitydata.science/~ads/teaching/2020/stats/r_tutorials/w03-R_tutorial.html Week 3 R tutorial] (note that you can access .rmd or .pdf versions by replacing the suffix of the URL accordingly). * Additional material from any of the recommended R learning resources suggested last week or elsewhere in the syllabus. In particular, you may find the ModernDive, RYouWithMe, Healy, and/or Wickham and Grolemund resources valuable. <!--- '''Resources''' * [https://science.sciencemag.org/content/187/4175/398 UCB admissions paper] * [https://openpolicing.stanford.edu Stanford OpenPolicing Project] ---> ==== October 1: Probability ==== '''Required''' * Read Diez, Çetinkaya-Rundel, and Barr: §3 (Probability). * Watch [https://www.youtube.com/watch?list=PLkIselvEzpM5EgoOajhw83Ax_FktnlD6n&v=rG-SLQ2uF8U Probability introduction] and [https://www.youtube.com/watch?v=HxEz4ZHUY5Y&list=PLkIselvEzpM5EgoOajhw83Ax_FktnlD6n&index=2 Probability trees] OpenIntro lectures (just videos 1 and 2 in the playlist). * Complete '''exercises from OpenIntro §3:''' 3.12, 3.15, 3.22, 3.28, 3.34, 3.38 '''Resources''' * [https://seeing-theory.brown.edu/index.html#secondPage Seeing Theory §1-2 (Basic Probability and Compound Probability)]
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