Editing Statistics and Statistical Programming (Spring 2019)

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'''Required Readings:'''
 
'''Required Readings:'''
  
* Diez, Barr, and Çetinkaya-Rundel: §6.1-6.4 (Inference for categorical data).
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* Diez, Barr, and Çetinkaya-Rundel: §6 (Inference for categorical data)
 
* 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 Hill's personal website]]
 
* 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 Hill's personal website]]
 
* Reinhart, §4 and §5.
 
* Reinhart, §4 and §5.
  
'''Recommended Readings:
+
'''Recommended Readings:'''
* Diez, Barr, and Çetinkaya-Rundel: §6.5-6.6 (Small samples and randomization inference)
 
 
* Verzani: §3.4 (Bivariate categorical data); §10.1-10.2 (Goodness of fit)
 
* 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Available through NU Libraries]] (This is a reworked version of [http://www.stat.columbia.edu/~gelman/research/unpublished/p_hacking.pdf this unpublished manuscript] which provides a more detailed examples.)
 
* 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Available through NU Libraries]] (This is a reworked version of [http://www.stat.columbia.edu/~gelman/research/unpublished/p_hacking.pdf this unpublished manuscript] which provides a more detailed examples.)

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