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Art of Stat

Education

Gratuit

Art of Stat

par Bernhard Klingenberg

v1.1.0 44 Mo Universel 4+

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.