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Yuanting Lu – Journal of Statistics and Data Science Education, 2023
Interactive web-based applets have proven effective in teaching statistics. This article presents new implementations of web-based applets primarily targeting a traditional introductory statistics course in two particular areas: (a) using real-time response data to engage students in simulations and (b) generating randomized datasets for…
Descriptors: Computer Oriented Programs, Simulation, Statistics Education, Teaching Methods
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Mehta, C. Christina; Moore, Renee' H. – Journal of Statistics and Data Science Education, 2022
Collaborative statisticians are instrumental to maintaining the rigor and reproducibility of multidisciplinary projects on which they collaborate. Clear, complete, well-annotated records of data, its revising, analysis, interpretation, and presentation are essential. Many students do not know how to systematically and consistently organize their…
Descriptors: Statistics Education, Information Management, Student Projects, Cooperative Learning
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Anthony Underwood; Aidan Sichel; Emily C. Marshall – Journal of Statistics and Data Science Education, 2024
Economics has become increasingly empirical and, alongside this shift, has come more demand for improved transparency and reproducibility in empirical economic research. In this article, we distribute a survey to almost 1500 economics faculty from the top 161 liberal arts colleges with an economics major (according to U.S. News & World Report)…
Descriptors: Teaching Methods, Economics Education, Undergraduate Students, Liberal Arts
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Reinhart, Alex; Genovese, Christopher R. – Journal of Statistics and Data Science Education, 2021
Traditionally, statistical computing courses have taught the syntax of a particular programming language or specific statistical computation methods. Since Nolan and Temple Lang's seminal paper, we have seen a greater emphasis on data wrangling, reproducible research, and visualization. This shift better prepares students for careers working with…
Descriptors: Computer Software, Graduate Students, Computer Science Education, Statistics Education