Mobile Apps for Teaching & Learning Statistics

I will present six mobile apps - "Explore Data," "Distributions," "Inference," "Resampling," "Regression," and "Concepts" - available under Art of Stat on iOS and Android. These apps provide an intuitive, hands-on approach to teaching and learning statistics, using real data, and illustrate important concepts such as probability distributions, bootstrapping, the coverage probability or the Central Limit Theorem. The apps cover exploratory data analysis (e.g., side-by-side boxplots), statistical inference (e.g., confidence intervals) or regression modeling and prediction (e.g., interactive scatterplots, logistic regression, and multiple linear regression). From a common interface, users select one of many pre-loaded datasets or upload their own CSV file, and then run the analysis. The apps provide a comprehensive set of tools that should enrich any learning environment and are straightforward to use and implement (no computer lab necessary).

In the lightning talk, I will demonstrate key features of the apps and showcase their potential in enhancing statistics education. During the poster session, I invite attendees to explore the apps firsthand and engage in live demonstrations on topics of their choice by projecting the apps on the TV.

Data Science Tools

Interactive Apps

Statistics Education

Introductory Statistics 

Software & Data Science Technologies

Symposium on Data Science and Statistics (SDSS) 2025