This paper reports on the development of specially designed Model-Eliciting Activities (MEAs) to help students develop statistical thinking. While MEAS have been successfully used in mathematics and engineering education (Lesh & Doer, 2003; Zawojewski, Bowman, & Diefes-Dux, 2008), their use in an introductory applied statistics course had not been investigated. The NSF-funded CATALST project has been studying the development and use of MEAs as a way of having students experience an authentic statistical problem that is based on a real data in order to expose students to the discipline of statistics and promote students' statistical thinking.
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