Tools

Below are some tools that I have authored (with help from LLMs) for use in a statistics class.

• PRISM (Python & R Integrated Simulation Machine) - An all-in-one tool for simulation-based inference that allows students to build the data generating process themselves using familiar random chance devices like cards or lottery ball machines. Every simulation comes with companion R and Python code, giving students a no-code starting point and a natural bridge to coding their own simulations.
• Memorization Activity Tool - This tool allows for an easy implementation of an experimental design activity in the classroom. Templates for qualtrics surveys that automate the random assignment process to treatment groups are provided. With your Qualtrics export, you can use the tool to automatically score student responses and distribute to students within minutes to analyze in that same class. The data tool comes with other calculations and visualizations to aid with classrooms that leverage calculators for inference.
• CODAP Sampler Tools - This tool covers two gaps in CODAP's sampler plugin. It enables you to create a device for a categorical variable with many repeated options quickly without needing to type in the same value many times, and it also allows for easy import of data from a CSV file to a mixer without importing the entire data set. This helps to expand upon the abilities students have with building samplers.