STA 210
Schedule Syllabus Project Sakai Gradescope Help
Schedule
Week 01: Intro
Week 02: SLR
Week 03: SLR
Week 04: ANOVA + MLR
Week 05: MLR
Week 06: Transformations + model comparison
Week 07: Model selection + diagnostics
Week 08: Logistic regression
Week 09: Logistic regression
Week 10: Logistic regression
Week 11: Multinomial logistic regression
Week 12: Log-linear models
Week 13: Missing data + presenting results
Week 14
Week 15

Week 11: Multinomial logistic regression

  • Lectures
  • Assignments
  • Announcements

Lectures 🔗︎

Slides Videos Application Exercises (AE)
Monday Multinomial logistic regression: Introduction Multinomial logistic regression: Introduction AE 21: Sesame Street
Wednesday Multinomial logistic regression, Part 2 Multinomial logistic regression, Part 2 AE 22: Multinomial logistic Q+A and Project

Assignments 🔗︎

Project Draft due Oct 28 at 11:59p
Project peer review due Nov 5 at 11:59p

Announcements 🔗︎

Tea with a TA

Hang out with the TAs from STA 210! This is a casual conversation and a fun opportunity to meet the members of the STA 210 teaching team. The only rule is these can’t turn into office hours!

Tea with a TA counts as a statistics experience.

Upcoming teas:

Meredith Brown, Tue, Oct 27 at 7p

  • Click here to sign up. Zoom details will be emailed before the event.

I am a junior at Duke University majoring in Computer Science and Statistics with a Math minor. I’m from Raleigh, North Carolina, where I grew up an avid UNC basketball fan - it’s been quite the adjustment. My research interests focus on the intersection of public health and data science, such as how social determinants of health can aid in predicting hospital admissions or, more recently, how the COVID-19 pandemic impacts healthcare utilization at Duke. In my free time, you can find me playing soccer, doing the NYT crossword, or cheering for Duke basketball.

Cody Coombs, Thu, Nov 5, 4p - 5p

  • Click here to sign up. Zoom details will be emailed before the event.

Cody Coombs is a current senior at Duke University. He plans on earning a B.S. in Economics with a Finance concentration, as well as a minor in Statistical Science. Last summer he worked remotely as a Business Analyst Intern at Capital One. There he worked on risk analysis of multicard customers, and creating lending policy recommendations for the Credit Line Increase Program. After graduation, he is looking to go into strategy consulting. In his free time, he enjoys watching sports, playing poker, and going golfing.

Big Data for Public Policy Panel

When: October 26 at 8-9 PM

What: How has the development of “Big Data” affected public policy research? What is it like to work as a statistician/policy researcher for the ACLU or Southern Poverty Law Center?

Join the Duke Statistical Science Majors Union and our four panelists in an important discussion of how they use statistics in their policy research, what types of models they use, and the impact that statistics has had on their research.

Who:

  • Brandon Garrett (Faculty Director of Wilson Center for Science and Justice, L. Neil Williams, Jr. Professor of Law at Duke)

  • Frank Baumgartner (Richard J. Richardson Distinguished Professor of Political Science at UNC Chapel Hill)

  • Cristina Becker (Attorney at National ACLU Capital Punishment Project, former Criminal Justice Debt Fellow at ACLU-NC)

  • Delvin Davis (Senior Criminal Justice Policy Analyst at Southern Poverty Law Center, former Senior Research Analyst at Center for Responsible Lending)

The Zoom link and a link to submit questions are in Sakai.

Duke Datathon, Oct 31 - Nov 1

Find out more information on their website: https://dukeml.org/datathon/

This is Statistics Fall Data Challenge

Click here for details on the Get out the Vote! Fall Data Challenge by the American Statistical Association (ASA). Submissions are due November 11.

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Week 10: Logistic regression
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Week 12: Log-linear models
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