Art of Stat: Distributions
Art of Stat: Distributions Summary
Art of Stat: Distributions is a with in-app purchases Android app in Education by Bernhard Klingenberg, Art of Stat. Released in Jul 2021 (4 years ago). It has about 7.4K+ installs and 50 ratings with a 4.64★ (excellent) average. Based on AppGoblin estimates, it reaches roughly 578 monthly active users and generates around $<10K monthly revenue (100% IAP / 0% ads). Store metadata: updated Feb 5, 2026.
Recent activity: 473 installs this week (553 over 4 weeks) showing exceptional growth View trends →
Store info: Last updated on Google Play on Feb 5, 2026 .
4.64★
Ratings: 50
Screenshots
App Description
Statistics Calculator for Exploring & Visualizing Probability Distributions.
News Feb. 2026:
The new Art of Stat app includes this Art of Stat: Distributions module and many other modules useful for statistics and data science. Please install the new Art of Stat app now.
However, this legacy version will continue to work
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Original Description:
Modern statistical calculator for teachers and students of statistics.
The Art of Stat: Distributions app explores and visualizes continuous and discrete probability distributions via sliders and buttons.
Don't rely on boring and complicated graphing calculators that don't deserve their name. Instead, use the interactive graphics that this app provides to learn about probability distributions and visualize results side-by-side with the numerical solutions.
Find probabilities or percentiles (two-tailed, upper tail or lower tail) for computing P-values or when working with discrete distributions. Obtain critical values for confidence intervals. Display the expected value and standard deviation, and simulate random numbers.
The app works in offline (airplane) mode and indicates this by changing the background color.
Continuous Distributions implemented so far:
- Normal
- Student's t
- Chi-Squared
- F
- Exponential
- Uniform
- Gamma
- Beta
Discrete Distributions:
- Binomial
- Geometric
- Poisson
- Define Your Own Discrete Distribution plus several examples, like Benford
