Workshop schedule: Hartford

January 1, 0001

Before the Workshop

1:30 pm: Registration
2:00 pm: Welcome & housekeeping Announcements
2:15 pm: Icebreaker: Teaching Statistics
2:30 pm: GAISE and ASA/AMATYC guidelines to teaching statistics
2:50 pm: Tidy data & grammatical graphics
3:20 pm: Break
3:30 pm: Orientation to the StatPREP website and Little Apps: Kate Kozak
4:00 pm: Using StatPREP Little Apps in the Classroom Activity #1: Center and spread with Kate Kozak
4:50 pm: Break
5:00 pm: Introduction to RStudio cloud
6:00 pm: Dinner-time discussion of statewide curriculum
6:45 pm: Share out / Adjourn Day 1

8:00 am: Breakfast
8:30 am: Tutorials with R
9:00 am: Using StatPREP Little Apps in the Classroom Activity #2: Normal distribution with Kate Kozak
9:45 am: Searching for Data: Finding good sources of data
10:20 am: Break
10:30 am: Using StatPREP Little Apps in the Classroom Activity #3: Confidence intervals with Ambika Silva
11:15 am: Bootstrapping with the Little App, with Danny and Nick
11:45 am: Using StatPREP Little Apps in the Classroom Activity #4: Two-sample t-test with Danny and Nick
12:30 pm: Lunchtime Discussion: continuation of yesterday’s discussion on curriculum and state standards
1:15 pm: Choose one of the following to attend:
- Workout with a personal trainer: your choice Little Apps/Tutorials/basics of R/…
  - The OSHA.Rmd file we created during the session.
- Mosaic R package for teaching stats
2:00 pm: Tips for creating an Active Classroom
2:30 pm: It’s all about Regression!
2:45pm: Break
3:00 pm: Using StatPREP Little Apps in the Classroom Activity #5: Linear Regression with Danny and Nick
3:45 pm: Overview of Stats for Data Science book (for instructor self study)
4:00 pm: Small Group Discussions: Takeaways
4:30 pm: Q & A panel discussion
5:00 pm: Staying in touch & Adjourn

Times differ from location to location. The above schedule will be adjusted accordingly.