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Enhancement of the Command-Line Environment for Use in the Introductory Statistics Course and Beyond
Gerbing, David W. – Journal of Statistics and Data Science Education, 2021
R and Python are commonly used software languages for data analytics. Using these languages as the course software for the introductory course gives students practical skills for applying statistical concepts to data analysis. However, the reliance upon the command line is perceived by the typical nontechnical introductory student as sufficiently…
Descriptors: Statistics Education, Teaching Methods, Introductory Courses, Programming Languages
Tan, Kay See; Elkin, Elena B.; Satagopan, Jaya M. – Journal of Statistics and Data Science Education, 2022
We developed a summer research experience program within a freestanding comprehensive cancer center to cultivate undergraduate students with an interest in and an aptitude for quantitative sciences focused on oncology. This unconventional location for an undergraduate program is an ideal setting for interdisciplinary training in the intersection…
Descriptors: Undergraduate Students, Student Research, Professional Development, Data Analysis
Baumer, Benjamin S.; Garcia, Randi L.; Kim, Albert Y.; Kinnaird, Katherine M.; Ott, Miles Q. – Journal of Statistics and Data Science Education, 2022
We present a programmatic approach to incorporating ethics into an undergraduate major in statistical and data sciences. We discuss departmental-level initiatives designed to meet the National Academy of Sciences recommendation for integrating ethics into the curriculum from top-to-bottom as our majors progress from our introductory courses to our…
Descriptors: Ethics, Statistics Education, Data Analysis, Teaching Methods