Editing User:Aaronshaw/Stats course
From CommunityData
The edit can be undone. Please check the comparison below to verify that this is what you want to do, and then publish the changes below to finish undoing the edit.
Latest revision | Your text | ||
Line 2: | Line 2: | ||
:'''Statistics and Statistical Programming''' | :'''Statistics and Statistical Programming''' | ||
:'''MTS 525''' Media, Technology & Society | :'''MTS 525''' Media, Technology & Society, Northwestern University | ||
:'''Instructor:''' [http://aaronshaw.org Aaron Shaw] ([https://communication.northwestern.edu/faculty/AaronShaw Northwestern University]) | :'''Instructor:''' [http://aaronshaw.org Aaron Shaw] ([https://communication.northwestern.edu/faculty/AaronShaw Northwestern University]) | ||
:'''Course Websites''': | :'''Course Websites''': | ||
:* We will use | :* We will use Canvas for [https://canvas.northwestern.edu announcements], [https://canvas.northwestern.edu/ turning in assignments], and [https://canvas.northwestern.edu discussion] (if you choose to use them) | ||
:* Everything else will be linked on this page. | :* Everything else will be linked on this page. | ||
:* List of student git repositories (will be a link) | :* List of student git repositories (will be a link) | ||
Line 55: | Line 54: | ||
I will also assigning several chapters from the following: | I will also assigning several chapters from the following: | ||
* Reinhart, Alex. 2015. ''Statistics Done Wrong: The Woefully Complete Guide''. SF, CA: No Starch Press. | * Reinhart, Alex. 2015. ''Statistics Done Wrong: The Woefully Complete Guide''. SF, CA: No Starch Press. | ||
This book provides a conceptual introduction to some common failures in statistical analysis that you | This book provides a conceptual introduction to some common failures in statistical analysis that you need to learn to recognize and avoid. It was also written by a Ph.D. student. It is not required, but you may find it easier to buy a copy than deal with multiple chapters via pdf. | ||
A few other books may be useful resources while you're learning to analyze, visualize, and interpret statistical data with R. I will share some advice about these during the first class meeting: | A few other (optional) books may be useful resources while you're learning to analyze, visualize, and interpret statistical data with R. I will share some advice about these during the first class meeting: | ||
* Healy, Kieran. 2019. ''Data Visualization: A Practical Introduction''. Princeton, NJ: Princeton UP. ([https://kieranhealy.org/publications/dataviz/ via Healy's website]) | * Healy, Kieran. 2019. ''Data Visualization: A Practical Introduction''. Princeton, NJ: Princeton UP. ([https://kieranhealy.org/publications/dataviz/ via Healy's website]) | ||
Line 205: | Line 204: | ||
When reading the schedule below, the following key might help resolve ambiguity: §n denotes chapter n; §n.x denotes section x of chapter; §n.x-y denotes sections x through y of chapter n. | When reading the schedule below, the following key might help resolve ambiguity: §n denotes chapter n; §n.x denotes section x of chapter; §n.x-y denotes sections x through y of chapter n. | ||
=== Week 1: | === Week 1: Tuesday January 3: Introduction, Setup, and Data and Variables === | ||
Please complete the readings prior to class so that we can discuss them and start talking through some of the examples in R together. | Please complete the readings prior to class so that we can discuss them and start talking through some of the examples in R together. | ||
Line 224: | Line 223: | ||
'''R screencasts:''' | '''R screencasts:''' | ||
* [https://communitydata.cc/~mako/2017-COM521/com521-week_01-r_programming_intro-20170103.ogv Week 1 R lecture screencast (Part I): Introduction to R and univariate statistics] (~1 hour 47 minutes) | * [https://communitydata.cc/~mako/2017-COM521/com521-week_01-r_programming_intro-20170103.ogv Week 1 R lecture screencast (Part I): Introduction to R and univariate statistics] (~1 hour 47 minutes) | ||
* [https://communitydata.cc/~mako/2017-COM521/com521-week_01-github_rscripts-20170104.ogv Week 1 R lecture screencast (Part II): Setting up git/GitHub and saving files in RStudio] (~40 minutes) | * [https://communitydata.cc/~mako/2017-COM521/com521-week_01-github_rscripts-20170104.ogv Week 1 R lecture screencast (Part II): Setting up git/GitHub and saving files in RStudio] (~40 minutes) | ||
* [[Statistics and Statistical Programming ( | * [[Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 1]] | ||
'''Resources:''' | '''Resources:''' | ||
Line 234: | Line 233: | ||
* [[Statistics and Statistical Programming (Winter 2017)/Session plan: Week 1]] | * [[Statistics and Statistical Programming (Winter 2017)/Session plan: Week 1]] | ||
=== Week 2: | === Week 2: Tuesday January 10: Probability and Visualization === | ||
'''Required Readings:''' | '''Required Readings:''' | ||
Line 257: | Line 256: | ||
* [[Statistics and Statistical Programming (Winter 2017)/Session plan: Week 2]] | * [[Statistics and Statistical Programming (Winter 2017)/Session plan: Week 2]] | ||
=== Week 3: | === Week 3: Tuesday January 17: Distributions === | ||
'''Required Readings:''' | '''Required Readings:''' | ||
Line 281: | Line 280: | ||
* [[Statistics and Statistical Programming (Winter 2017)/Session plan: Week 3]] | * [[Statistics and Statistical Programming (Winter 2017)/Session plan: Week 3]] | ||
=== Week 4: | === Week 4: Tuesday January 24: Statistical significance and hypothesis testing === | ||
'''Required Readings:''' | '''Required Readings:''' | ||
Line 303: | Line 302: | ||
* [[Statistics and Statistical Programming (Winter 2017)/Session plan: Week 4]] | * [[Statistics and Statistical Programming (Winter 2017)/Session plan: Week 4]] | ||
=== Week 5: | === Week 5: Tuesday January 31: Continuous Numeric Data & ANOVA === | ||
'''Required Readings:''' | '''Required Readings:''' | ||
Line 327: | Line 326: | ||
* [https://www.openintro.org/download.php?file=os3_slides_05&referrer=/stat/slides/slides_0x.php Mine Çetinkaya-Rundel's OpenIntro §5 Lecture Notes] | * [https://www.openintro.org/download.php?file=os3_slides_05&referrer=/stat/slides/slides_0x.php Mine Çetinkaya-Rundel's OpenIntro §5 Lecture Notes] | ||
=== Week 6: | === Week 6: Tuesday February 7: Categorical data === | ||
'''Required Readings:''' | '''Required Readings:''' | ||
Line 350: | Line 349: | ||
* [https://www.openintro.org/stat/videos.php OpenIntro Video Lectures] including 4 videos for §7 | * [https://www.openintro.org/stat/videos.php OpenIntro Video Lectures] including 4 videos for §7 | ||
=== Week 7: | === Week 7: Tuesday February 14: Linear Regression === | ||
'''Required Readings:''' | '''Required Readings:''' | ||
Line 374: | Line 373: | ||
* [https://www.openintro.org/stat/videos.php OpenIntro Video Lectures] including 4 videos for §7 and 3 videos on the sections §8.1-8.3 | * [https://www.openintro.org/stat/videos.php OpenIntro Video Lectures] including 4 videos for §7 and 3 videos on the sections §8.1-8.3 | ||
=== Week 8: | === Week 8: Tuesday February 21: Polynomial Terms, Interactions, and Logistic Regression === | ||
'''Required Readings:''' | '''Required Readings:''' | ||
Line 403: | Line 402: | ||
* I've written this document which will likely be useful for many of you: [https://communitydata.cc/~mako/2017-COM521/logistic_regression_interpretation.html Interpreting Logistic Regression Coefficients with Examples in R] | * I've written this document which will likely be useful for many of you: [https://communitydata.cc/~mako/2017-COM521/logistic_regression_interpretation.html Interpreting Logistic Regression Coefficients with Examples in R] | ||
=== Week 9: | === Week 9: Tuesday February 28: Consulting Meetings === | ||
We won't meet as a group. Instead, you will each meet on-on-one with me to work through challenges and issues with your analysis. | |||
=== Week 10: | === Week 10: Tuesday March 7: Consulting Meetings === | ||
We won't meet as a group. Instead, you will each meet on-on-one with me to work through challenges and issues with your analysis. | |||
== | === Week 11: March 14: Final Presentations === | ||
== Administrative Notes == | |||
=== Attendance === | === Attendance === | ||
As detailed in [https://mako.cc/teaching/assessment.html my page on assessment], attendance in class is expected of all participants. If you need to miss class for any reason, please contact me ahead of time (email is best). Multiple unexplained absences will likely result in a lower grade or (in extreme circumstances) a failing grade. In the event of an absence, you are responsible for obtaining class notes, handouts, assignments, etc. | |||
=== | === Office Hours === | ||
I will not hold regular office hours. In general, I will be available to meet after class. Please contact me on email to arrange a meeting then or at another time. | |||
=== Accommodations === | === Accommodations === | ||
In general, if you have an issue, such as needing an accommodation for a religious obligation or learning disability, speak with me before it affects your performance; afterward it is too late. Do not ask for favors; instead, offer proposals that show initiative and a willingness to work. | |||
To request academic accommodations due to a disability please contact Disability Resources for Students, 448 Schmitz, 206-543-8924/V, 206-5430-8925/TTY. If you have a letter from Disability Resources for Students indicating that you have a disability that requires academic accommodations, please present the letter to me so we can discuss the accommodations that you might need for the class. I am happy to work with you to maximize your learning experience. | |||
=== Academic Misconduct === | |||
I am committed to upholding the academic standards of the University of Washington’s Student Conduct Code. If I suspect a student violation of that code, I will first engage in a conversation with that student about my concerns. | |||
If we cannot successfully resolve a suspected case of academic misconduct through our conversations, I will refer the situation to the department of communication advising office who can then work with the COM Chair to seek further input and if necessary, move the case up through the College. | |||
While evidence of academic misconduct may result in a lower grade, I will not unilaterally lower a grade without addressing the issue with you first through the process outlined above. | |||
=== Credit and Notes === | === Credit and Notes === | ||
This syllabus has, in ways that should be obvious, borrowed and built on the [https://www.openintro.org/stat/index.php OpenInto Statistics curriculum]. I also | This syllabus has, in ways that should be obvious, borrowed and built on the [https://www.openintro.org/stat/index.php OpenInto Statistics curriculum]. In the sense that he used the same two textbooks, I also drew some inspiration and confidence from Tom S. Clark's [http://www.tomclarkphd.com/teaching/POLS508F14.pdf syllabus for POLS 508: Data Analysis in Fall 2014]. |