Teaching Statistics with R and RStudio Part 2

Organizers

• Nicholas Horton (United States)
• Daniel Kaplan (United States)
• Randall Pruim (United States)

Description

This second part of the workshop continues to introduce participants to teaching applied statistics courses using computing in an integrated way. Topics will include resampling and randomization methods for statistical inference, and how to emphasize modeling throughout the curriculum. Much of this will be facilitated using the mosaic package. The workshop is designed to be accessible to those with little or no experience teaching with R, and will provide participants with skills, examples, and resources that they can use in their own teaching.

Bring your own laptop.

This is Part 2 following Part 1 held the previous day. Note that registration and attendance in Part 1 (Workshop B1) and registration for Part 2 is required for attendance in Part 2.

For questions and additional information, contact Randall Pruim at rpruim@calvin.edu