Art of Stat Summary

Art of Stat is a iOS app in the Education category, developed by Bernhard Klingenberg. First released recently released ago(Jan 2026),

Store info: Last updated on App Store on Jan 30, 2026 .


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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.