Teaching One‐WayANOVAwith engagingNBAdata and R Shiny within a flexdashboard

Abstract

This paper provides introductory statistics instructors with the capacity to use engaging National Basketball Association (NBA) data within a web application to either strengthen students' understanding or introduce the concept of variance and one-way analysis of variance. Using engaging data within the classroom provides context to data that students deem applicable to their lives. This paper not only provides a lesson plan for teaching these concepts but also provides a web application and the engaging NBA dataset if the instructor decides to use the app or the data in another context. The NBA data selected to focus on the debate "Who is the greatest NBA player of all time?". By using context students are familiar with and interested in, we can get them interested in and further engaged in statistics.

Choosing and using data and contexts for learning

“…Anyone who has given students in introductory statistics a free hand in choosing a context to investigate, knows how sporting data can be as attractive to students as it can be difficult for them to understand the statistical challenges and pitfalls in the way of researching what they want, which is often associated with individual stars or successful teams. In [6], a scraped and organised dataset using the US National Basketball Association (NBA) Legends dataset, with R code provided for those who The approach in [1] is an example of an immersive strategy which embeds an entrepreneurial mindset within introductory statistical learning in a renewable energy context relevant to a small student cohort. Because the solar energy context requires non-negligible learning, this paper demonstrates the care required in the learning and pedagogical structure to facilitate student investigation in a highly directed and complex context.…”