Abstract:
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Much has been written during the last decade about using simulations in Elementary Statistics courses. Although growing in popularity, the use of simulations is not yet considered a universal standard for these courses. This paper seeks to review the most commonly reported and recommended practices for incorporating simulations into a statistics course, and then to suggest possible extensions for the roles that such simulations can play in the course. Specifically, we briefly review how simulations have been used to develop conceptual understanding of statistical inference. We then describe multiple ways to position simulations within student projects, and we explore ways to leverage simulations to illustrate the underlying assumptions and resulting limitations of more traditional statistical tests.
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