This schedule is intended to be the hub from which you can access notes and activities for the StatPREP 2018 workshops. You might want to bookmark it in your browser so that you can find it quickly.

Note the HELP!! menu item above. Use it if you’re too shy to ask a question out loud. Also use it to help the StatPREP organizers by posting comments, criticisms, suggestions, and such.

Welcome.

- Examples of in-class lessons centered on data
- Start with graphics: Randy Pruim’s first-day-of-class activity tutorial and notes on plotting
- Two-sample t
*Little App* - Concept lesson: What’s normal? Background and activity

- Collecting data with your students
- Tidy data:
- Computing in tutorial form
- Starting R: functions, formulas, and parts of speech notes and quiz
- Tidy data frames
- Graphics for data science
- Calculating statistics
- For year-two workshops, there’s an optional alternative track about using lessons in tutorial format.

Exploring statistics using tutorials: a collection of choices

- Statistical concepts: Two tracks:
- Streamlining inference with regression
- Little app on regression, proportions, one-way ANOVA
- R tutorial

- Simulation-based inference:
- Little apps involving resampling: confidence intervals & proportions
- R tutorials: sampling, resampling, and shuffling

- Streamlining inference with regression
- Communicating with your students: Two tracks
- Setting up a course web site.
- Computing with rstudio.cloud

- Lesson development: Small group activity with two tracks
- Developing lessons based on Little Apps
- Developing lessons using R commands.

- Brief presentations of lessons developed
- Hartford
- Data from the island
- Post-it Notes
- Hartford Corrections data in HTML and Rmd and the data set … or the rstudio.cloud project

- St. Paul

- Hartford
Evaluation: Help us improve!

Going forward … support and staying in touch

This schedule does not include information about specific timing, breaks, meals, and such. That’s because each of the four workshop locations will have slightly different arrangements with respect to those things.

You’ll notice that there are three distinct styles of interaction planned for the workshop:

- Presentations and discussions that are in the style of a class you might teach your own students, but with the workshop participants playing the role of the students.
- Activities where the participants are preparing lessons for use in their own classrooms.
- Training and work as data scientists undertaking analysis of data.