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!