The Department of Statistics
offers a free, drop-in consulting service to members of the University
community. Under the supervision of a senior faculty member,
statistics doctoral candidates and experienced master's students
provide assistance in areas including:
- Experimental design;
- Data analysis and interpretation of results;
- Model fitting;
- Time series;
- Classification and prediction.
We encourage you to drop by, especially at the
early stages of your research.
To improve the quality of our service, the first meeting will mainly
be used to discuss the case with our clients in detail. Please bring
your data, charts, plots, etc. After reflecting on the problem we will
provide you with our advice in a second meeting.
Time and Location
We are generally open starting in the second week of the
quarter, when classes are in session. We are NOT open during the first
week of the quarter, during Dead Week or Finals Week, between
quarters (the Intersession), or during any University holiday period (such as Thanksgiving, Winter Closure, etc.) per the current Academic
Calendar. Other options for assistance
when we are closed are listed below.
The schedule for Spring 2013 (printable flyer here) is:
Tuesdays 12noon to 2pm
Wednesdays 11am to 3pm
Thursdays 10am to 12noon
Fridays 2:30pm to 4:30pm
The final session for the Quarter will be held
on the last day of classes, Wednesday, June 5, 2013.
Sessions are held in the Sequoia Hall Conference Room (the "Fishbowl") on the second
floor, to the left from the top of the stairs or the elevator.
Sequoia Hall is located at the southwest corner of the intersection of
Serra Street and Lomita Mall. A searchable
campus map (keyword: Statistics) is available to help you locate
us. (The most convenient parking meters are along Lomita Drive.)
Industrial Affiliates Initiative
We also offer the opportunity for scientists, engineers
and researchers in local companies to meet with our graduate students
in an informal setting. We are interested in hearing about technical
problems in applied statistics, optimization and related fields. This
introduction might lead to ongoing consulting arrangements or
membership in our Industrial
Other Statistical Consulting Resources on Campus