Data Analysis (Stat 206)
Brad Hartlaub
Spring 2018
R links
Daily Agendas
- January 15
- January 17
- January 19
- January 22
- January 24
- January 26
- January 29
- January 31
- February 2 - Quiz 1
- February 5
- February 7
- February 9
- February 12
- February 14
- February 16
- February 19 - project proposals - discussions with groups
- February 21 - R lab time for Unit A projects
- February 23 - R lab time for Unity A projects
- February 26 - Unit A Project Presentations (Poster session for 1/2 of the class)
- Acceptance rates based on college data - Julia Elrod and Rara Gumbel
- Movie gross revenue - Ellie Corser, Fallon Ravoil, Maya Waldstreicher
- Predicting points per game in the NBA - Rashawn Sanders, Tommy Weiss, and Weston Carpenter
- Predicting GDP - Nico Danner, Peter Hazlett, and Rob Guldenschuh
- Predicting GDP - Anatol Doroskevic and Jack Marino
- February 28 - Unit A Project Presentations (Poster session for 1/2 of the class)
- Life expectancy - Eliza Cohen, Hannah Perry-Zeik, and Tess Neau
- Life expectancy - Annie Guang, Abhijeet Bail, and Elvin Shrestha
- NCAA swimming championship invite times - Hannah Orbach-Mandel and Maddie Westover
- Correlates of War - Adam Aluzri and Brennan Steele
- Bassenthwaite Lake in England - Alex Zablocki and Sammy Russell
- Models for total income - Christina Ennis, Makeda Nuruddin, and Tudor Stoian
- March 2 - Exam #1
- March 19
- March 21
- March 23 - R Lab / Two-way ANOVA
- March 26
- March 28
- March 30 - Class Exercises and Unit B Projects
- April 2 - Lab time for Unit B Projects
- April 4 - Unit B Poster Presentations
- HOLC mapping procedures in Los Angeles - Adam Aluzri and Brennan Steele
- Comparing birth rates around the world - Annie Guang, Abjijeet Bail, and Elvin Shrestha
- NCAA Basketball - Hannah Orbach-Mandel and Maddie Westover
- April 6 - Unit B Poster Presentations - Quiz 2
- Models for Cryptocurrencies - Rawshawn Sanders
- Precipitation rates in Ohio - Anatol Doroskevic and Jack Marino
- Perceived versus Actual BMI - Christina Ennis and Tudor Stoian
- Differences in income earnings, post graduation - Eliza Cohen, Tess Neau, Hannah Perry-Zeik
- April 9
- Models for Teen Smoking Rates - Julia Elrod and Rara Gumbel
- Sugar content in breakfast cereals - Tommy Weiss and Weston Carpenter
- Models for ice core samples - Alex Zablocki and Sammy Russell
- Models for fouling in the NCAA men's basketball - Nico Danner, Peter Hazlett, and Rob Guldenschuh
- Starbucks drink prices by state - Maya Waldstreicher, Ellie Corser, and Fallon RaviolA
- April 11 - Begin Chapter 9 - Logistic Regression
- April 13 - Quiz 3 (Unit B - Chapters 5, 6, and 7)
- April 16
- April 18
- April 20
- April 23 - R lab - time series exercises (2, 4, 5, 6, 10, 22, 25, 27, 29, 36, 37)
- April 25 - ARIMA and review
- April 27 - Exam #2
Homework Assignments
- Your solutions must be submitted electronically to your Google Drive folder. You may submit a Word file or a PDF file. For example, the name of the file for the first homework assignment should be HW1-yourname.doc or HW1-yourname.PDF
- HW #1 - due on Wednesday, January 24
- HW #2 - due on Monday, January 29
- HW #3 - due on Monday, February 5
- HW #4 - due on Monday, February 12
- HW #5 - due on Friday, February 23
- Unit A project proposal - due on Monday, February 19 - Your poster 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. If you have any questions, please don't hesitate to contact me.
- HW #6 - due on Monday, March 26
- HW #7 - due on Monday, April 2
- Unit B project proposal - due on Friday, March 30 - Your 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. If you prefer, you may design your own experiment for this project. 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. If you have any questions, please don't hesitate to contact me.
- HW #8 - due on Wednesday, April 18
- HW #9 - Optional HW due on Wednesday, April 25
Sample Exams
- See p:\data\math\hartlaub\dataanalysis
Interesting Links
Data Sources