Probability Distributions

Probability Distributions
Probability Distributions
Developer: Matthew Bognar
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703.3K installs
2K ratings
3.6K monthly active users
Revenue not available
Install Trends
Weekly +538
Steady
Monthly +2.2K
Steady

Probability Distributions Summary

Probability Distributions is a mobile Android app in Education by Matthew Bognar. Released in Dec 2012 (13 years ago). It has about 703.3K+ installs and 2K ratings with a 4.74★ (excellent) average. Based on AppGoblin estimates, it reaches roughly 3.6K monthly active users . Store last updated Jul 9, 2025

Recent activity: 538 installs this week (2.2K over 4 weeks) showing steady growth View trends →

SDK intelligence: AppGoblin detected 3 development tools(e.g. JetBrains) integrated into Probability Distributions. View full SDK list →

Probability Distributions SDKs Summary

Probability Distributions was last scanned for SDKs on 2026-06-08. Below is the overview of third-party companies detected in the app. The full list of SDKs, permissions and unknowns is available here.

AppGoblin saw Probability Distributions uses 3 Development Tools

company-logos/jetbrains.com/logo_200x200.jpeg JetBrains
company-logos/kotlinlang.org/logo_200x200.png Kotlin
company-logos/intellij.org/logo_200x200.jpeg JetBrains IntelliJ

App Details

Store ID: com.mbognar.probdist
First Released: 2012-12-30
Store Last Updated: 2025-07-09
App Store Category: Education
In-App Purchases: No
Ads: No
Website: uiowa.edu

App Store

Crawl Status: Success
AppGoblin First Crawled: 2021-02-06
AppGoblin Last Crawled: 2026-07-04

Ads & App-Ads.txt

App does not have ads.

4.74★

Ratings: 2K

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Screenshots

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App Description

Compute probabilities, percentiles, and plot various probability distributions.

Compute probabilities and plot the probability mass function for the binomial, geometric, Poisson, hypergeometric, and negative binomial distributions. Compute probabilities, determine percentiles, and plot the probability density function for the normal (Gaussian), t, chi-square, F, exponential, gamma, beta, and log-normal distributions.

Some knowledge of probability distributions is required! If you don't know what a "binomial" distribution is, for example, this application will not be useful to you.