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P2-02: Customizable, Open Source Shiny Apps for Randomization-Based and Traditional Intro Stat Courses


By Scott Manski, Michigan State University


Information

Have you ever found an educational resource that is almost perfect for your class if only you could tweak a couple of things?

An internal OER grant at Michigan State spurred the development of a suite of open Shiny apps for introductory statistics courses. The code is available online for general use and the apps can be hosted on any Shiny server. Several apps were written to accompany the suite of OpenIntro texts and include randomization-based tests. Extensive comments in the code allow instructors to modify the apps to suit their style and needs, with instructions for how to change the color of the plots, the default settings, or even the core functionality of the app. 

This poster describes the apps, several labs and assessment questions that use them, where the code can be obtained, and how the apps can be customized by instructors with only basic R coding experience.

Accompanying Files

https://gitlab.msu.edu/STT200ShinyApps/intro-statistics-applets


Poster Session - P2-02 - Customizable, Open Source Shiny Apps for Randomization-Based and Traditional Intro Stat Courses.pdf