ML revenue forecast.
Calibrated against 120891 apps in this category.
Confidence band
±15%
High — many comparable apps with verified data
At a glance
Earns 3.73× more than the category median (159/mo).
Ranks #7,183 of 120,891 in Education (top 5.9% by revenue).
Launched Dec 30, 2012 · last updated Jul 09, 2025.
What the app looks like
Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.
Probability Distributions's revenue trajectory
Forecast revenue from snapshot history. Last 1 months.
Where Probability Distributions sits in Education
Revenue distribution of 120891 comparable apps. Probability Distributions highlighted.
Probability Distributions vs comparable apps
Revenue trajectory side-by-side. Bold = Probability Distributions, ghosted = peers.
App spec
Version
5.9
Last update
Jul 09, 2025
Launched
Dec 30, 2012
Price
Free
Monetization
Free
What Probability Distributions actually does (from store listing)
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 usef…
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.
Comparable Android apps
The five apps in Education with the closest revenue to Probability Distributions. Click any to see its detail page.
Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag.
The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR.
Every number on this page comes from public APIs and bumetric's own snapshot history.
Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors.
See also the live data on Probability Distributions's tracker page for current rating, reviews and snapshot timeline.
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