Group projects

Schedule finals week

	Monday	Tuesday	Wednesday	Thursday	Friday
12:15 - 12:45		P1 - C2
1:00 - 1:30		P5 - C6		P3 - C8
1:45 - 2:15		P7 - C1		P8 - C4
2:30 - 3:00		P2 - C5		P4 - C3
3:15 - 3:45		P6 - C7

Legend: 'P' stands for presenting, 'C' stands for critiquing, and the numbers stand for the group numbers.

Place: All sessions will be in Padelford C-301.

Equipment: There will be an overhead projector for slides. I will also bring a laptop and data projector. If you want to do the presentation on the computer, please put your file on a USB stick or email it to me a day before your presentation.

Final projects

• Group 1: Farani, James and Lie Mei
  • Data: MEAP93 math test data
  • Research statement: We are going to determine whether the percentage of students passing the high school MEAP math test has a strong association with characteristics of the high school such as the percentage of students participating in a school's lunch program, school enrollment, number of staff, etc.
• Group 2: Katie, Paul and Troy
  • Data: Data set 'debt' in the R-package Faraway.
  • Research statement: We intend to find out if people's attitude on debt is associated with factors such as the indiviual's income group, housing situation, number of children, etc.
• Group 3: Lee, Li Ying and Phoebe
  • Data: 1983-1999 Air carrier accident data used in annual review from the National Transportation Safety Board.
  • Research statement: We will do a predictive analysis of aircraft accident fatalities in the United States.
• Group 4: Khanh, Lindsey and Veronica
  • Data: Taken from the book "Meaningful differences in the everyday experience of young american children" by Betty Hart and Todd R. Risley.
  • Research question: Does the amount of words a child is exposed to within the first three years of his/her life predict how well the child scores on the "Test of language development" in third grade, controlling for ethnicity and socioeconomic circumstances?
• Group 5: John, Kerne and Ngan Ha Thi
  • Data: Data from the Highway Safety Information System containing records of all car accidents occurring on rural state routes in the state of Washington between 1999 and 2004 inclusive.
  • Research questions: Which factors predict an increased rate of accidents on two-lane highways in Washington State? Do certain factors cause accidents?
• Group 6: Ju-yeon and Steve
  • Data: Doing Business database containing GDP growths for countries and rankings on different types of business regulations in each country.
  • Research question: Which type of business regulations are correlated with high levels of growth in GDP?
• Group 7: Hui Yu, Jwuo Chin and Kelly
  • Data: Child Health and Development Studies data on infant birth weight
  • Research statement: We want to study the relationship between infant birth weight and smoking habits of the mother. We are also interested in the relationship between other maternal and paternal factors that might influence the birth weight.
• Group 8: Gallagher and Maria
  • Data: Apartment data from the REIS database
  • Research statement: We intend to predict the unit rent for a given property in Seattle based on its amenities. We also want to study the causal relationship between amenities and unit rent.