Schedule
Week 01: Intro
Week 02: Data viz
Week 03: Data wrangle
Week 04: Probability
Week 05: Bootstrap + Data Ethics
Week 06: Sim-based testing
Week 07: Central Limit Theorem
Week 08: Two-sample-inference
Week 09: Linear models
Week 10: Multiple linear regression
Week 11: Classification + Text analysis
Week 12: Spatial data
Week 13: Web scraping + functions
Week 14
Week 15

Week 08: Two-sample-inference

Lectures ðŸ”—︎

Slides Videos Application Exercise (AE)
Monday Two-sample inference Two-sample inference AE 15: Parkinson’s disease
Wednesday Two-sample inference: Part 2 Two-sample inference: Part 2 AE 16: Is yawning contagious?
Comparing three or more groups Comparing three or more groups
Calculations for Chi-square test

Readings ðŸ”—︎

Introduction to Modern Statistics: 5.1 Randomization Tests Required
Infer examples Optional

Assignments ðŸ”—︎

Team Feedback #1 (see email from Teammates) due Oct 7 at 11:59p
Project proposal due Oct 9 at 11:59p

Announcements ðŸ”—︎

Tea with a TA!

Hang out with the TAs from STA 199! This is a casual conversation and a fun opportunity to meet the members of the STA 199 teaching time. The only rule is these can’t turn into office hours!

Tea with a TA counts as a statistics experience.

Upcoming Tea with a TA events

Ezinne Nwankwo, October 8, 2:30p - 3:30p

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

Ezinne Nwankwo is a Ph.D. candidate in statistical sciences with a focus on machine learning and computational social sciences at Duke University. Her research focuses on using statistical and machine learning methods to better understand society (using social data) and to aid in decision making processes. She is a passionate advocate for students and researchers from underrepresented backgrounds as an organizer and mentor with Black in AI.