Online Program Home
My Program

Abstract Details

Activity Number: 125 - SPEED: Modernization of What, How, and Where We Teach Statistics Part 1
Type: Contributed
Date/Time: Monday, July 29, 2019 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics and Data Science Education
Abstract #305324 Presentation
Title: Interactive Examples in Statistics Courses Using R Shiny
Author(s): Ryne VanKrevelen*
Companies: Elon University
Keywords: statistics education; active learning; r shiny; undergraduate education

The Shiny package in R allows users to create web applications without needing to know web programming. This provides an opportunity for statistics instructors to create interactive web applications specific to their courses and classroom examples. These apps can help students learn statistical concepts in an engaging and time efficient manner. This presentation will demonstrate two examples of Shiny apps created for specific class examples. The first app has been used in introductory statistics courses to help students learn advantages and disadvantages of various sampling methods. The second app has been used in an experimental design course to help students discover when and why a Latin Squares design may be advantageous over a design with zero or one blocking factor.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2019 program