Zobrazeno 1 - 10
of 644
pro vyhledávání: '"HORTON, NICHOLAS J."'
Permutation tests are a powerful and flexible approach to inference via resampling. As computational methods become more ubiquitous in the statistics curriculum, use of permutation tests has become more tractable. At the heart of the permutation appr
Externí odkaz:
http://arxiv.org/abs/2406.07756
Autor:
Horton, Nicholas J., Stoudt, Sara
In 2022, the Journal of Statistics and Data Science Education (JSDSE) instituted augmented requirements for authors to post deidentified data and code underlying their papers. These changes were prompted by an increased focus on reproducibility and o
Externí odkaz:
http://arxiv.org/abs/2405.18232
Text provides a compelling example of unstructured data that can be used to motivate and explore classification problems. Challenges arise regarding the representation of features of text and student linkage between text representations as character
Externí odkaz:
http://arxiv.org/abs/2302.01292
A substantial fraction of students who complete their college education at a public university in the United States begin their journey at one of the 935 public two-year colleges. While the number of four-year colleges offering bachelor's degrees in
Externí odkaz:
http://arxiv.org/abs/2210.12528
Many data science students and practitioners don't see the value in making time to learn and adopt good coding practices as long as the code "works". However, code standards are an important part of modern data science practice, and they play an esse
Externí odkaz:
http://arxiv.org/abs/2210.03991
The world is full of text data, yet text analytics has not traditionally played a large part in statistics education. We consider four different ways to provide students with opportunities to explore whether email messages are unwanted correspondence
Externí odkaz:
http://arxiv.org/abs/2202.07389
Autor:
Çetinkaya-Rundel, Mine, Hardin, Johanna, Baumer, Benjamin S., McNamara, Amelia, Horton, Nicholas J., Rundel, Colin
Computing makes up a large and growing component of data science and statistics courses. Many of those courses, especially when taught by faculty who are statisticians by training, teach R as the programming language. A number of instructors have opt
Externí odkaz:
http://arxiv.org/abs/2108.03510
While coursework provides undergraduate data science students with some relevant analytic skills, many are not given the rich experiences with data and computing they need to be successful in the workplace. Additionally, students often have limited e
Externí odkaz:
http://arxiv.org/abs/2106.11209
Nolan and Temple Lang (2010) argued for the fundamental role of computing in the statistics curriculum. In the intervening decade the statistics education community has acknowledged that computational skills are as important to statistics and data sc
Externí odkaz:
http://arxiv.org/abs/2012.12144