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Teaching Statistical Modeling

Tuesday, June 23rd through Thursday, June 25th, 2009.

Presenters: Danny Kaplan & Victor Addona, Macalester College.

Sponsored by the Consortium for the Advancement of Undergraduate Statistics Education (CAUSE).
This workshop is supported in part by the W.M Keck Foundation's project on Data Fluency.

A satellite workshop to the USCOTS 2009 Conference, June 25th through June 27th.
The Ohio State University, Columbus, Ohio.

Overview | Agenda

Outline of the Workshop

Tuesday June 23: 10am - 5pm

  • Statistical modeling and the ASA GAISE recommendations.
  • Starting R. What students need to know.
  • The organization of data.
  • The language of modeling.
  • Model formulas and coefficients.
  • Correlation in a modeling framework.
  • Total and partial relationships.

Wednesday June 24: 9am - 5pm

  • R for instructors. What you need to know to teach effectively with R.
  • The geometry of statistics.
  • Describing randomness.
  • Resampling, bootstrapping, and simulation.
  • Confidence from models.
  • Hypothesis testing on whole models.

Thursday June 25: 9am - 3pm
(ending in time for the opening of USCOTS)

  • Data collection and modeling projects.
  • Hypothesis testing on parts of models.
  • Modeling Yes/No variables.
  • Causation and experimentation.
  • Experimental design and simulation.

Computation (using the free package R) will feature prominently in hands-on activities; participants should bring laptop computers if possible. Participants do NOT need to have previous experience with R or with statistical modeling. Our students can learn it and so can you!