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Students will work in groups of three to carry out projects involving
application of
the statistical methods covered in the course to problems of their own
choosing. I will be happy to work with you at each stage of your project.
Each pair of students will:
- Formulate a research question
- Obtain a dataset that can be used to address this question;
you may
- collect your own data,
- obtain a dataset from the web, from a book, from an instructor
in your major field, or from some other source, or
- see me for a choice of datasets
- determine an appropriate method of analysis
- use SAS to check the data
- use SAS to carry out the analysis
- report and interpret the results
I will expect more sophisticated projects from graduate students and
other students registered for 22S:105.
Projects will be carried out in three phases. Please meet with me at least
once while you are working on each phase.
- Project proposal (due 4/03)
This is a detailed description of what you plan to do, including
question(s) to be addressed, dataset to be used, methods to be applied.
Also specify your intended
method of presentation for the final project. (See below.)
- Project interim report (due 4/17)
This informal report will indicate that your project is ``on track." All
computing should be done. Turn in code and output,
and a brief summary
(hand-written is O.K.) of what the reuslts mean and what remains to be done.
In addition, include an itemized list from each member of the project team
of what work he or she has
done to date on the project.
- Project presentation (must be posted or submitted by 5/01)
Projects must be finalized in a form that can be shared with the entire class,
such as:
- posting a document on the course web page
- preparing a poster
- giving an oral presentation with overheads, slides, or computer
images
Posters and oral presentations will be given in class during the week of 5/02.
Along with the final project, each member of the team must turn in an
itemized list of his/her contributions to the project.
Next: Grading
Up: Evaluation of students
Previous: Exams
Kate Cowles
2006-01-10