Data Analysis (Stat 206)
Brad Hartlaub
Fall 2025
R links
Math Science Skills Center
- Kate Bogan and Long Tran will be your lead tutors. They will be available to help you on Sunday (7:00 - 10:00 pm), Tuesday (8:00 - 9:00 pm) and Thursday (7:00 - 9:00) evenings.
Daily Agendas
- August 29
- September 1
- September 3
- September 5 - our first problem session and Complete Chapter 1
- September 8
- September 10
- September 12 - Problem session for Chapter 1 exercises (HW #2)
- September 15
- September 17
- September 19 - Problem Session for Chapter 2 exercises (HW #3)
- September 22
- September 24
- September 26 - Quiz #1 on Chapters 0, 1, and 2
- September 29
- October 1
- October 3 - Problem Session for Chapter 3 exercises (HW #4)
- October 6
- October 8
- October 13
- October 15 - Problem Session for Chapter 4 exercises (HW #5)
- October 17 - Exam #1 - you may use 5 sheets (8.5"x11") of notes, our course web page, and an R script or RMarkdown file that you create
- October 20 - Lab time for Unit A Project Presentations
- October 22 - Unit A Project Presentations
- Section 1
- J.T. Casarico and Charlie Ackerman - Modeling NBA team point differential per game
- Khanh Mai and Nam Vu - Regression models for academic performance of students
- Ashlyn Widmer and Neil Abrahamson - Predicting Pulse
- Section 2
- Annabella Boley and Toms Russ - How do various factors of a Harry Potter movie's release affect revenue?
- Nola Bundschuh and Lex Newman - What are the best predictors for WNBA win% based on team statistics?
- Riley Bhatia and Liz Teleisha - Sleep
- October 24 - Unit A Project Presentations
- Section 1
- Linnea Rogers and Eden Cohen - Regression model of Spiranthes data
- Naomi Damelin - Regression models for weather data
- Justin Buchwalter and Arthur Gaillard - Analyzing the influence of various predictors on goals in soccerthe top soccer
- Section 2
- Jack Briscoe and Eli Rudall-Stulberg - The rise of analytics in the MLB
- Kevin Farina and Ethan Popa - Regression models for the Kentucky Derby
- Olivia Ide and Savannah Massey - Which health and development indicators best predict life expectancy worldwide?
- October 27 - Unit A Project Presentations
- Section 1
- Skylar Helms and Thomson Parlette - Regression models for success in the Premier League
- Isabel Murley and Kate Reed - Examining the relationships between insurance claims paid for treatment, vaccination, and testing for Covid-19
- Section 2
- Julia Bundy and Sam Finnerty - An examination of how NFL defensive football statistics predict team success
- Noah Song and Yiling Hu - Predicting success for NFL teams based on offensive statistics
- October 29
- October 31
- November 3
- November 5
- November 7 - Problem Session for Chapters 5 & 6 exercises (HW #6)
- November 10
- November 12
- November 14 - Problem Session for Chapters 7 & 8 exercises (HW #7)
- November 17
- November 19 - no class
- November 21 - Unit B Poster Session and Peer Review
- Section 1
- Linnea Rogers and Naomi Damelin - Adopting Animals: Time spent in shelters
- Justin Buchwalter and Arthur Gaillard - Genre differences in top Spotify songs
- Skylar Helms - Factors affecting student performance
- Isabel Murley - Monthly restaurant revenue
- Section 2
- Annabella Boley and Toms Russ - How different factors of K-beauty advertisements impact consumer acceptance of a product
- Olivia Ide and Savannah Massey - ANOVA models for student test performance
- Yiling Hu and Noah Song - Effects of minimum wage and regional factors on U.S. employment
- Jack Briscoe and Eli Rudall-Stulberg - ANOVA and ANCOVA on NBA player stats
- December 1 - Unit B Poster Session and Peer Review
- Section 1
- J.T. Casarico - Three point shooting and team success in the NBA
- Kate Reed and Eden Cohen - ANOVA and ANCOVA models for crop yields and water usage
- Charlie Ackerman - What makes a car efficient?
- Ashlyn Widmer and Neil Abrahamson -Differences in poverty index
- Khanh Mai and Nam Vu - Effect of alcohol on student's performance
- Section 2
- Kevin Farina and Ethan Popa - Factors affecting construction machinery maintenance costs
- Nola Bundschuh and Lex Newman - The effects of botox on migraines
- Riley Bhatia and Liz Teleisha - Analyzing historical popularity on Wikipedia
- Sam Finnerty - ANOVA and ANCOVA models for data from the NFL combine
- Julia Bundy - ANOVA models for board game traits and ratings
- December 3 - Problem Session for Chapter 9
- December 5 - Exam #2 on Chapters 5 through 9 - you may use 5 sheets (8.5"x11") of notes, our course web page, and an R script or RMarkdown file that you create
- December 18 - Final projects are due by 1:30 pm for Section 1
- December 19 - Final projects are due by 1:30 pm for Section 2
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 - due on Monday, September 8
- HW #2 - Problem Session on Friday, September 12, written solutions are due on Monday, September 15
- HW #3 - Problem Session on Friday, September 19, written solutions are due on Monday, September 22
- HW #4 - Problem Session on Friday, October 3, written solutions are due on Monday, October 6
- HW #5 - Problem Session on Wednesday, October 15, written solutions are due by the end of the day on October 15
- 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 may work with one partner on this Unit A project if you prefer. Your proposal should be sent to me via email on or before October 15 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 will begin on Monday, October 20. If you have any questions, please don't hesitate to contact me.
- HW #6 - Problem Session on Friday, November 7, written solutions are due on Monday, November 10
- Unit B project proposal - due on before Friday, November 15 - Your group poster should compare and contrast ANOVA or ANCOVA models we have discussed in class to a real data set or data from an experiment of interest to you. 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 formal inferences (hypothesis tests) and appropriate multiple comparisons procedures. Poster sessions will be held during our usual class times on Wednesday, November 19 and Friday, November 21. You can just create a pdf with your slides, like you did for the Unit A Project, and then print a hardcopy of the slides. I will bring magnets so that you can put your hardcopies on the whiteboards for the poster sessions. Your peers will be moving from poster to poster so that they can provide peer evaluations at the end of each class. Your group will be randomly assigned to one of the two poster sessions. I recommend that you coordinate your remarks with your partner and limit your formal remarks to at most 10 minutes. Please create a folder with your names under the !Unit B Projects folder on Google Drive and drop your files (including the data set(s), R script, and PPT or PDF slides) into the folder before your poster session begins. If you have any questions, please don't hesitate to contact me. Please send me your proposals via email and include the names of the people in your group and a title for your project.
- HW #7 - Problem Session on Friday, November 14, written solutions are due on Monday, November 17
- HW #8 - Problem Session on Wednesday, December 3
Sample Exams
- See !Exam and Quiz Samples on our Google Drive folder.
Interesting Links
Data Sources