This Statistics 100 project has students develop an interesting question and analyze it with either an existing dataset or an original study. Students create a poster and display their results in a setting that approximates an academic conference. Mid-semester students form teams of 2 or 3 people and write proposals, which lay out the question, data source, main variables, and timeline. The proposals get reviewed by the teaching fellows and professor and are returned with feedback and advice. Students must then hand in a revision. At the end of the semester, students present their projects in clusters of 4 or 5 teams, and rate each other's presentations. There is then a general poster session. On project day, the students also submit a form indicating the contribution of each team member.
Examples of questions include:
Do marriages end in divorce more often for women in high salaried jobs than in lower salaried jobs?
Is the food at Annenberg worse than in the upper class houses?
Professor Dave Harrington reports that one of the most challenging aspects of this project is the formation of questions and coming up with a doable project.
For handouts describing the expectations of the proposal, the project day poster and presentation guidelines, the presentation rating sheets, and a form specifying each member's contribution, click "Resources."