Art of Stat: Inference is an education app developed by Bernhard Klingenberg, Art of Stat.
Download Statistics
Art of Stat: Inference has been downloaded 1.7 thousand times. In the last 30 days, the app was downloaded 18 times.
User Ratings
Art of Stat: Inference is rated 4.00 out of 5 stars. The rating is based on 13 ratings.
App Information
Art of Stat: Inference is FREE to download. The APK download size is 41.62 MB. The latest version available is 3.0.0. The last update was on February 12, 2026.
Technical Requirements
The app has a content rating of Everyone. The app has been available on Google Play August 2021.
Description
********** News: The Inference app is now part of the all new "Art of Stat" app, a single app that contains Inference and seven other modules (Explore Data, Distributions, Concepts, Regression, Machine Learning, Resampling and Data Editor). Please consider getting the Art of Stat app for the latest updates and features from the App Store. Simply search for "Ar of Stat" on the App Store. This app will continue to work, but future development is concentrated on the new Art of Stat app. *********
The Art of Stat: Inference app provides access to the following modules:
- Inference for Proportions (one and two independent samples, McNemar's test for dependent samples) - Inference for Means (one and two independent samples, Paired t-test for dependent samples) - Chi-square Test (Independence/Homogeneity and Goodness of Fit) - One-way ANOVA for comparing several means
No Ads. No Subscriptions. Unlock all modules for a one-time small fee.
Entering your own data is easy: If you just have a few observations (or if you have the summary statistics), simply type them in. For larger datasets, upload a CSV file of your raw data to a cloud account (such as iCloud or Google Drive) or simply email the file to yourself. Then, open the CSV file in the app and select the variables for your analysis. You can also simply copy & paste raw data from a spreadsheet app (Such as Numbers on iOS or Google sheets). Sample datasets are provided.
The results are stunning: The app provides relevant plots (side-by-side or stacked bar charts, boxplots, histograms) and computes and visualizes confidence intervals and P-values for testing hypotheses. All relevant information (such as standard errors, margin of errors, z or t scores and degrees of freedom) are clearly displayed and labeled. The P-value is visualized on a graph for the normal, t-, or Chi-Squared distribution.
Developed for both students and teachers as a handy tool for carrying out basic statistical inference and visualize results on the fly.
The app works in on- and offline mode (the app indicates that it is in offline mode with a large green banner), which makes it suitable for exams.
The app also has dedicated modules for exploring concepts such as the coverage probability for confidence intervals or the concepts of Type I & II errors and power. It can actually find the Type II error and power for tests of proportions (and certain tests for means.)
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