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Statistics and Statistical Programming (Winter 2021)
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=== Day 12: Wednesday February 17: Inference for numerical data (t-tests and ANOVA) === <!--'''Class material:''' This is a combo of two days, basically... * [[/Day 12 session plan]] --> '''Required tasks:''' * Read Diez, Çetinkaya-Rundel, and Barr: §7.1-5 (Inference for numerical data: differences of means; power calculations, ANOVA, and multiple comparisons). '''Recommended tasks:''' * [https://www.openintro.org/go/?id=stat_better_understand_anova&referrer=/book/os/index.php OpenIntro supplement on ANOVA calculations] (particularly useful if you think you'll be doing more ANOVAs). * Watch [https://www.youtube.com/watch?list=PLkIselvEzpM5G3IO1tzQ-DUThsJKQzQCD&v=uVEj2uBJfq0 inference for numerical data] (videos 1-8 in the playlist) OpenIntro lectures (and featuring one of the textbook authors!). * COM520 R Tutorial #8: t-tests and ANOVA [[https://www.dropbox.com/preview/COM520-shared_files-UW-2021-Q1/r_tutorials/com520-r_tutorial-08.html HTML], [https://www.dropbox.com/preview/COM520-shared_files-UW-2021-Q1/r_tutorials/com520-r_tutorial-08.rmd RMarkdown], [https://www.dropbox.com/preview/COM520-shared_files-UW-2021-Q1/r_tutorials/com520-r_tutorial-08.pdf PDF], [https://uw.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=70b906b1-88fc-475c-9541-acd100247d13 Screencast]] '''Homework:''' * Complete [[/Problem set 12]]
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