This is a session of Topic 3: Statistics education at the post-secondary level

Session 3F (Friday 13th, 11:00-12:30,   Level 2 - Medium Conference Room)

Statistical computing and communication

Organizer

• Manabu Iwasaki (Japan) : Session chair

Abstract

In the days when computational power was lacking, theory was the mainstay of statistics education. However, it is true to say that statistical practice has responded to the development of computational facilities. Rapid advances in technology over recent years have resulted in the development of easy-to-use open-source and commercial software, including data visualization tools, which are used in statistical practice, and also in the classroom. Students can now implement complex multivariate analyses using only a few clicks of the mouse to obtain the desired results. Unleashed from computational burden, it is becoming an increasingly important educational task to be aware of how students utilize powerful computing tools in the classroom, how they interpret the results, and how they can effectively communicate their findings to others. In this session, speakers will address the following questions: How can we improve statistical communication in statistical computing courses? What is the relationship between statistical thinking and statistical computing? Why must statistics education incorporate communication skills?

Papers