Full topic list
This is a session of Topic 4: Statistics education at the post-secondary level


(Tuesday 15th, 13:45-15:15)

Randomisation and bootstrapping: the quick way to inference


Organizer

Session chair: Mike Forster

Abstract

In introductory statistics courses we establish the connected ideas of sampling variation and randomisation of group labels early on and then embark on what is typically a long and convoluted road to classical statistical inference. In navigating our way along this path we often confuse and even lose many of our students due to the multitude of ideas and concepts we have to teach them. We need to be able to establish the core concepts of statistical inference much faster and connect better with their prior experience and intuition, not only to maintain our students’ interest but also to prepare them for when we do move to the more formal ideas of mathematically based inference. If we can establish the core concepts of inference early on, our students will have a much better idea of where they are going and why they need to go there. Modern computer technology now allows us to use interactive visualisations of statistical techniques such as bootstrapping and randomisation tests so that we can have beginners doing statistical inference in a matter of hours rather than days or weeks. The question then arises as to how best to us these tools so that students really do extract from them the lessons we want them to. In this session we explore both the concept and various methods that have been used in an attempt to achieve this lofty but very desirable goal.


Papers

PaperTitlePresenter / Co-author(s)
4A1Accepting the challenge: constructing a randomisation pathway for inference into our traditional introductory courseA Marie Fitch (New Zealand)
Matt Regan (New Zealand)
4A2Using simulation/randomization to introduce p-value in week 1Soma Roy (United States)
Nathan Tintle (United States)
Jill VanderStoep (United States)
Todd Swanson (United States)
Allan Rossman (United States)
George Cobb (United States)
Beth Chance (United States)
4A3Intuitive introduction to the important ideas of inferenceRobin Lock (United States)
Dennis Lock (United States)
Eric Lock (United States)
Patti Frazer Lock (United States)
Kari Lock Morgan (United States)