Abstract:
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We present a curriculum for a second course in statistics which focuses on conceptual understanding of multivariable relationships through simulation-based inference and its relationship to study design. Using simulation-based learning tools with a focus on data visualization in real-world, guided-discovery case studies, this curriculum seeks to build understanding of the ways in which variables work together to explain variation in the data. Highlights of the curriculum, the development process, initial thoughts from the developers and pilot testers, and feedback from students will be shared.
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