Data Analysis (Stat 206)
Brad Hartlaub
Spring 2026
R links
Math Science Skills Center
- Kate Bogan will be your lead tutor. She will be available to help you on Sunday from 7:00 pm until 9:00 pm, and Tuesday from 8:00 until 9:00.
Daily Agendas
- January 12
- January 14
- January 16
- January 19 - Our first problem session; Please drop one PDF with your solutions into your HW folder.
- January 21
- January 23
- January 26 - PS on Chapter 1 exercises; Please drop a PDF with your solutions into your HW folder.
- January 28
- January 30
- February 2 - PS on Chapter 2 exercises; Please drop a PDF with your solutions into your HW folder.
- February 4
- February 6 - no class; work on Chapter 3 exercises and prepare for the quiz
- February 9 - Quiz #1 on Chapters 0, 1, and 2. You may use three 8.5" x 11" sheets of notes, our course webpage, and an R script or RMarkdown file that you create during the quiz.
- February 11
- February 13
- Februay 16 - PS on Chapter 3 exercises; Please drop a PDF with your solutions into your HW folder.
- February 18 - Take-home quiz #2 should be uploaded to your HW folder with the name AddedVariablePlot_yourname.PDF
- February 20
- February 23 - PS on Chapter 4 exercises; Please drop a PDF with your solutions into your HW folder.
- February 25 - Lab time for Unit A Projects
- February 27 - Exam #1 on Chapters 0, 1, 2, 3, and 4. You may use five 8.5"x11" sheets of notes, our course webpage, and an R script or RMarkdown file that you create during the exam.
- March 16 - Unit A Presentations
- March 18 - Unit A Presentations
- Anna Huseby and Joel Coons - Equity in athletics
- Ayesha Aslam and Emilia Williams - Persistence of environmental inequality
- Colt Murphy and Owen Rodstrom - Predicting toal winnings for PGA golfers
- March 20 - Unit A Presentations
- Harrison Curtiss and Davis Minzler - Popularity of Songs
- Mina Ruffle and Alaina Smith - Regresssion models for unemployement rates
- EJ Schneeberg and Nik Unwala - Comparing models to predict NBA free throw percentage
- March 23 - Unit A Presentations
- Leo Brash and Jay Dixit - Sleep, screentime, and stress
- Malika Amidullayeva and Wesley Brock - Predicting the duration of tennis matches
- Lucie Prior and Dylan Ryznar - Predicting qualifying times for DIII nationals in the women's steeplechase
- March 25 - Unit A Presentations
- Rosa Kwon and Vlad Mishyn - Regression models for boxing
- Allison McCutchen and Liza Nazaruk - Regression models for F1 racing
Homework Assignments
- Your solutions must be submitted electronically to your Google Drive folder. You must submit a PDF of your solutions using a very specific naming structure. For example, the name of the file for the first homework assignment should be HW1-Stat206-yourname.PDF
- HW #1 - Our first Problem Session will be on Monday, January 19, and your written solutions are due on Monday, January 19.
- HW #2 - We will have a PS on Monday, January 26, and your written solutions should be uploaded to your HW folder before class on January 26.
- HW #3 - We will have a PS on Monday, February 2, and your written solutions should be uploaded to your HW folder before class on February 2.
- HW #4 - We will have a PS on Monday, February 16, and your written solutions should be uploaded to your HW folder before class on February 16
- HW #5 - We will have a PS on Monday, February 23, and your written solutions should be uploaded to your HW folder before class on February 23
- Unit A Project Proposal - In your Unit A project, you should compare and contrast at least three possible models for a response variable of interest. After you describe the problem of interest and your data, you should use the choose, fit, assess, and use steps to make appropriate inferences and comparisons. Your analysis should include at least one formal inference (hypothesis test) and appropriate confidence intervals or prediction intervals. You must work with one partner on this Unit A project. Your proposal should be sent to me via email on or before February 25 and include a short statement about your problem of interest, a description of your data, and a proposed date for your presentation to the class. Presentations should be 10 to 12 minutes in length with 2-3 minutues for questions from the audience. You may use Microsoft PowerPoint or Google Slides or a PDF for your presentation to the class. Presentations will begin on Monday, March 16. If you have any questions, please don't hesitate to contact me.
Sample Exams
- See !Exam and Quiz Samples on our Google Drive folder.
Interesting Links
Data Sources