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Abstract:
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Statistical computing software packages, such as R, have been used primarily in applied statistics courses at both the undergraduate and graduate level. I have found that incorporating R into the calculus-based probability and mathematical statistics courses can facilitate the instruction of many concepts and principles typically covered in these courses. In this talk, I will present an example of how I have used R in these courses to enable students to visualize probability distributions, to explore the properties of these distributions and their use as approximations to data distributions, and to connect these concepts to estimation and inference for the parameters of these probability distributions.
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