Art of Stat
Art of Stat Summary
Art of Stat is a free, with in-app purchases iOS app in Education by Bernhard Klingenberg. Released in Jan 2026 (7 months ago). It has 12 ratings with a 4.67★ (excellent) average. Based on AppGoblin estimates, it reaches roughly 47 monthly active users and generates around $<10K monthly revenue (100% IAP / 0% ads). Store last updated Aug 7, 2026
SDK intelligence: AppGoblin detected 3 development tools(e.g. Expo) integrated into Art of Stat. View full SDK list →
Art of Stat SDKs Summary
Art of Stat was last scanned for SDKs on 2026-07-11. Below is the overview of third-party companies detected in the app. The full list of SDKs, permissions and unknowns is available here.
Expo
React Native
Facebook4.67★
Ratings: 12
Screenshots
App Description
The Art of Stat app covers all your statistics needs—from core concepts and probability distributions to data exploration, inference, modeling, and prediction.
Use pre‑implemented datasets, import your own CSV/Excel files or - for small datasets - provide them directly.
Created by an expert college professor with many years of experience teaching Statistics & Data Science.
Better than AI: a guided, step‑by‑step learning experience—from summary statistics and visualizations to understanding statistical methods and outputs, including stunning visualizations. (YouTube channel coming soon!)
Try it free: 7‑day trial with no credit card or subscription required.
The app includes seven modules:
- EXPLORE DATA
Summary statistics, contingency tables, correlations, and rich visualizations: bar/pie charts, histograms, boxplots (including side‑by‑side), dotplots, and interactive scatterplots with color‑by‑variable.
- DISTRIBUTIONS
Interactively explore probabilities and percentiles for key distributions (Normal, Student‑t, Binomial, and more). Includes simulation tools.
- CONCEPTS
Central Limit Theorem (means/proportions), correlation and regression, confidence‑interval coverage, and Type I/II errors with power visualization.
- INFERENCE
Confidence intervals and hypothesis tests for proportions and means (one/two samples, independent/dependent), Chi‑square tests, and ANOVA.
- REGRESSION
Simple, multiple, and logistic regression; inference for parameters (SEs, CIs, p‑values); predictions; and striking interaction visualizations.
- MACHINE LEARNING
Supervised and unsupervised methods with train/test split, visualizations, predictions, heatmaps, and accuracy metrics including confusion matrices.
- RESAMPLING
Bootstrap CIs and permutation tests for means, medians, proportions, correlation, slope, and Chi‑square independence.
Includes a Data Editor if you want to to create your own, smaller datasets.
Works offline — perfect for exams or low‑connectivity environments.
The standard Apple Terms of Use (EULA) apply for any subscription offered in the app. Access the link below to obtain the EULA:
https://www.apple.com/legal/internet-services/itunes/dev/stdeula/