Skip to content

Probability & Distributions

These tools work directly with a named probability model, such as the normal or binomial distribution, rather than a dataset you collected. Every page shows the modeled event, the sample space or parameter units, the tail direction, and a complement check, so the exact question being answered is always visible.

A probability calculated here is a property of the model you selected, not a real-world forecast guaranteed to be calibrated. These pages calculate bounds and PMF normalization directly, but whether the named distribution actually fits your real situation, and whether the underlying events are independent with a constant probability or rate, are left for you to judge.

Engines in this category