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Abstract:
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To encourage members of all disciplines to think with data, students need to analyze real data in general education statistics courses with software that is available to them after graduation. In the past, our institution has used licensed software packages that are not accessible to students once the course is over. Recently, R has been used in a second semester course since it is open-source, free software. However, coding is a daunting task for students that have no experience with programming. The purpose of this paper is to provide an example of R statistics lab on sensitivity, specificity, positive predictive value, and negative predictive value that gently introduce students to programming while exploring statistical concepts using real life data.
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