Data Analysis (Math 206)
Brad Hartlaub
Spring 2013
R links
Daily Agendas
- Jan. 14
- Jan. 16
- Jan. 18
- Jan. 21 - R LAB
- Jan. 23
- Jan. 25
- Jan. 28
- Jan. 30
- Feb. 1 - RLAB
- Feb. 4
- Feb. 6
- Feb. 8
- Feb. 11
- Feb. 13
- Feb. 15
- Feb. 18 - Problem Session
- Feb. 20 - Problem Session
- Feb. 22 - Exam #1
- Feb. 25
- Feb. 27
- March 1 - Problem Session
- March 18
- March 20 - no class - work on Chapter 4 exercises and bootstapping handout
- March 22
- March 25
- March 27
- March 29 - Problem Session - Potato Lab
- April 1
- April 3
- April 5
- April 8 - Sample Projects and Project Data Files (Well Data and Snack Food Data)
- April 10 - Group work on Projects
- April 12 - Group work on Projects
- April 15
- Athene, Clifford, and Steven - Per Capita Income and Mean Lifespan: Relationships Across Countries
- Danny and Mathew - The Green Vehicle Guide: Balancing MPG and Carbon Emissions
- April 17
- Sarah and Dominick - Well Water Analysis
- Robin and Sarah - Studies on Water Components
- April 19
- Michael and Tim - Models for ERA and Winning Baseball Games
- Abby, Grant, and Michael - Analysis of Voter Turnout Percentages
- April 22
- Nina and Tyler - Predicting the Leading Factors that put Adolescents At-Risk
- Emily and Gwendolyn - Road Safety Mortality
- April 24
- Calvin, Natalie, and Zach - Analysis of 2013 Divison I Swimming Championships
- Curtis and Joey - Rate of Change Analysis in Division I and Division III Swimming Time
- April 26 - Exam #2 (Covers Chapters 4-7 and Chapter 9)
- April 29
- Danny and Logan - Stock Growth Analysis
- Specifications for final project (15 - 20 page paper):
- Introduction
- Description of your research question(s) of interest
- Discussion of data collection
- Set up and test appropriate hypotheses
- Identify, fit, and assess appropriate models (don't be afraid to explore with models that have not been presented in class)
- Conclusion
- Suggestions for future work
- Your data (csv file) and R script should be copied into your HW folder on the P:\ drive by 4:30 on Thursday, May 9
- May 1 - Lab time for final projects (proposals are due by midnight)
- May 2 - Exam 2 results - Individual consultations - Lab time for final projects
- May 9 - Final projects are due by 4:30 PM.
Homework Assignments
- Your solutions must be submitted electronically to p:\class\math\hartlaub\dataanalysis\HW\yourlastname. 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 23
- HW #2 - due on Wednesday, January 30
- HW #3 - due on Wednesday, February 6
- HW #4 - due on Wednesday, February 20 - we will have problem sessions to discuss these exercises.
- HW #5 - due on Friday, March 22
- HW #6 - due on Wednesday, March 27
- HW #7 - due on Wednesday, April 3
- HW #8 - due on Wednesday, April 10
- Final project proposals describing your research question(s) of interest, data collection methods and/or sources, and proposed analyses can be submitted via e-mail - due on Wednesday, May 1
Sample Exams
- See p:\data\math\hartlaub\dataanalysis
Interesting Links
Data Sources