Beth Chance (California Polytechnic State University), Emily Robinson (California Polytechnic State University)
Abstract
Visualizations can be very helpful to students learning complex statistical ideas (e.g., illustrating the weighted averaging in Simpson’s Paradox, showing the minimizing of squared residuals as a candidate best fit line is moved). New technology tools are expanding the possible visualizations used in introductory and intermediate statistics courses. In particular, abstract formulas can become more concrete with alternative presentations. This session aims to highlight examples of visualizations that are useful in learning complex statistical ideas with a focus on simulation models and multivariable relationships. This session will not only emphasize using visuals to explain statistical concepts, but will also highlight research-based components of effective visuals and strategies for creating new visuals and activities using new freely-available tools. The session is designed for both beginners and advanced users. Participants are encouraged to bring their own favorite visualizations and classroom use. In both small and large groups, we will discuss the shared visuals and related assessment items. Participants will leave with a collection of favorite visualizations in the form of a shared Google folder, feedback on their own ideas, and strategies for creating new visuals/activities. This session provides an excellent opportunity for educators to enhance their teaching strategies and to better equip their students to succeed in a data-driven world.