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User:Aaronshaw/Stats course
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=== Week 6: Thursday May 9: Categorical data === '''Required Readings:''' * Diez, Barr, and Çetinkaya-Rundel: §6 (Inference for categorical data) * Verzani: §3.4 (Bivariate categorical data); §10.1-10.2 (Goodness of fit) * Gelman, Andrew and Eric Loken. 2014. “The Statistical Crisis in Science Data-Dependent Analysis—a ‘garden of Forking Paths’—explains Why Many Statistically Significant Comparisons Don’t Hold Up.” ''American Scientist'' 102(6):460. [[https://www.americanscientist.org/issues/pub/2014/6/the-statistical-crisis-in-science/1 Available through UW Libraries]] (This is a reworked version of [http://www.stat.columbia.edu/~gelman/research/unpublished/p_hacking.pdf this unpublished manuscript] which provides a more detailed examples.) * Buechley, Leah and Benjamin Mako Hill. 2010. “LilyPad in the Wild: How Hardware’s Long Tail Is Supporting New Engineering and Design Communities.” Pp. 199–207 in ''Proceedings of the 8th ACM Conference on Designing Interactive Systems.'' Aarhus, Denmark: ACM. [[https://mako.cc/academic/buechley_hill_DIS_10.pdf PDF available on my personal website]] '''Assignment (Complete Before Class):''' * [[Statistics and Statistical Programming (Winter 2017)/Problem Set: Week 6]] '''Lectures:''' * [[Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 6]] * [https://communitydata.cc/~mako/2017-COM521/com521-week_06-tables_chisq_debugging.ogv Week 6 R lecture screencast: Tables, <math>\chi^2</math>-tests, and debugging.] (~40 minutes) '''Resources:''' * [https://www.openintro.org/download.php?file=os3_slides_06&referrer=/stat/slides/slides_0x.php Mine Çetinkaya-Rundel's OpenIntro §6 Lecture Notes] * [https://www.openintro.org/stat/videos.php OpenIntro Video Lectures] including 4 videos for §7
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