TigerSTAT is a three dimensional on-line game based where students use the on-line TigerSTAT game to collect data and explore models for estimating the age of a Siberian tiger. In this game, students act as researchers on a national preserve where they are expected to catch tigers, collect data, analyze their data (using the simple linear regression on transformed data), and draw appropriate conclusions. Instructors also have the option of asking students to read a scientific publication discussing current methods in estimating ages of tigers.
- Level: Introductory or Intermediate Statistics
- Topics Covered: Simple Linear Regression, prediction, model assumptions and adequacy.
- Software Required: Data analysis software such as Minitab, R, Stata, or Excel for descriptive statistics and regression analysis. Students will also need computer access to play the TigerSTAT game on the web (the game can be played inside or outside of the regularly scheduled class time).
- Prerequisites: Prior to this lab, students should know how to analyze data using summary statistics, graphical methods and hypothesis testing. In this lab students create a simple linear regression model, evaluate a residual plot, and conduct a hypothesis test for the slope of the regression line; this material can be learned as part of the lab or prior.
- Time: 1 to 3 hours in class + 3 to 5 hours of homework
This lab provides an engaging way to practice simple linear regression applied to a real problem. Students are exposed to messy data and issues associated with data collection through the TigerSTAT game. The realism of the lab can be increased if they also read and discuss the research article discussing current methods of estimating age in lions through the use of proxy variables. One goal of this lab is to encourage students to consider the implications of more complicated research design topics like sampling and bias. The usefulness of a model versus the statistical significance is also addressed in a very practical way students understand since they “own the data”. Multiple opportunities to highlight subtleties not often addressed in traditional textbook problems are natural outcomes from using the lab. Examples of these opportunities include sampling bias, the cost of data collection, and consideration of how a model is used rather than simply its statistical significance.
The following link allows you to play to the TigerSTAT Game. You will 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.
All datasets from this game can be found at TigerSTAT Data.
This activity is designed to build upon students' knowledge of 2-sample t-tests or ANOVA. The emphasis is on understanding experimental design and the impacts of model assumptions.
Before conducting the Simple Linear Regression Lab, students can read an optional scientific paper discussing current methods of estimating age in lions largely through the use of proxy variables: Sustainable trophy hunting of African lions (2004 Nature article by Whitman et al.).
An April 2013 CAUSEweb webinar presenting this material is also available here: Introduction to TigerSTAT
The TigetSTAT labs handouts were created by Rod Sturdivant, Kevin Cummiskey and John Jackson. Tietronix Software developed the game.