This page presents a series of games, activities and case studies that can be used in a variety of blended as well as brick-and-mortar courses. The materials can be used in introductory level statistics courses as well as more advanced courses. These activities use online apps instead of requiring the use of statistical software. However, it is also easy to download all the game data into a CSV file that can be analysed with most statistical software packages.
All games, links to corresponding data visualization apps, and raw data downloads are available at our Stat2Games site: https://www.stat2games.sites.grinnell.edu/
| Topic | Lab | Description | Prerequisites |
|---|---|---|---|
| Descriptive Statistics and Data Cleaning | Racer PartA | This initial game can be played with the original Racer game or a simplified Racer game called RacerLite. RacerLite has fewer options than the full Racer Game. | None |
| Cleaning Data | Racer PartA | ||
| Designing a Paired t-test | Racer PartB | ||
| Simple Linear Regression | Greenhouse Part1 | ||
| Regression Models | Greenhouse Part2 | ||
| Categorial Data | Defenders Part A | ||
| P-values | |||
| Hypothesis Tests - means | Racer | ||
| Hypothesis Test-proportions | Defenders | ||
| Ethics with data | |||
View Student Handout (HTML) or get in RMarkdown
Happy Planet Index (hpi-tidy) Dataset (.CSV)
UBSprices Dataset (.CSV)
rcp-polls Dataset (.CSV)
airline-safety Dataset (.CSV)
Created by Adam Loy
Prerequisites: Some experience with R or RStudio such as the online tutorial, Introduction to R.
This work represents collaborative work across Grinnell College (Shonda Kuiper), MTSU (Ginger Rowell) and Baylor (Rod Sturdivant) and funded by grants from the NSF and the Teagle Foundation.