Statistics Lab

“Statistics Lab” is an Applied Statistics Workshop in Data Analysis. It provides a learning environment in a realistic setting.

Students lead a regular consulting session at the Seminar für Statistik (SfS). After the session, the statistical data analysis is carried out and a written report and results are presented to the client. The project is also presented in the course's seminar.

Aims of this course

- gain initial experience in the consultancy process
- carry out a consultancy session and produce a report
- apply theoretical knowledge to an applied problem

After the course, students will have practical knowledge about statistical consulting. They will have determined the scientific problem and its context, enquired the design of the experiment or data collection, and selected the appropriate methods to tackle the problem. They will have deepened their statistical knowledge, and applied their theoretical knowledge to the problem. They will have gathered experience in explaining the relevant mathematical and software issues to a client. They will have performed a statistical analysis using R (or SPSS). They improve their skills in writing a report and presenting statistical issues in a talk.

Detailed Contents of the Course

[pdf]

Available Projects (HS 2010)

[pdf]

Information for Clients

Information [Link]

Application at beratung@stat.math.ethz.ch

Statistics Lab Seminar (HS 2010)

takes place every Wednesday, 15:15-16:45, HG D 5.2 (during semester time)

[Programme, pdf]

Useful Material

Examples, Templates and Styles for Report and Seminar Presentation.
[Link]

Literature on Consulting

• Javier Cabrera and Andrew McDougall, Statistical Consulting, Springer, 2002.
• James R. Boen and Douglas A. Zahn, The Human Side of Statistical Consulting, Wadsworth Inc. Belmont, 1982.
• Christopher Chatfield, Problem Solving: A Statistician's Guide, Chapman and Hall, 1990.
• D. R. Cox and E. J. Snell, Applied Statistics, Chapman and Hall, 1981.
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• Depending on the consulting problem, specific additional statistical literature will be recommended.
  

Former Projects and Reports

FS 2010 [Link]

HS 2010 [Link]