Racer is a game where the player can race a variety of racecars on multiple tracks. Each car body, engine and set of tires impacts the speed and acceleration of the cars. Players can choose any options they like, but they will develop better strategies (i.e. improve their chances of winning) if they thoroughly understand the data and techniques for analyzing it.


The following link allows you to play the Racer Game. (Click on the Racer tab)


You may be asked to install Unity Web Player, this may take a few minutes.

Many browsers will require you to allow popups before they will run these stat2labs games.


Data visualizations for all Racer game is available on the Racer Visualizations App.


All data from the game is available at Racer Data.




Paired t-tests Part A Making Decisions with Data: Student Handout (Instructor Notes)

Part A of this lab is designed to encourage students to carefully consider how to make with decisions with data. In steps 1 and 2, students do not need any familiarity with hypothesis testing.

The goal of this lab is to emphasize the importance of carefully evaluating the data before any conclusions are drawn.


Paired t-tests Part B Making Decisions with Data: Student Handout (Instructor Notes)

Part B assumes students have been exposed to paired and two-sample t-tests. This activity uses the Racer game to demonstrate the challenges in drawing conclusions in hypothesis tests. Students recognize that multiple sources of bias and confounding variables can cause the p-value to be unreliable. The emphasis is on using data to draw conclusions, even when the standard assumptions for hypothesis tests may not hold.


Two sample t-tests: Student Handout

This activity uses the Racer game but provides much less direction on the importances of designing experiments and messy data.




Thanks to Grinnell students Gemma Nash and Nadiradze, Mariam Nadiradze for creating, editing and maintaining the on-line game.