Probability Distribution Calculator

What this calculator does

Calculate probabilities for supported discrete and continuous distributions using the parameters and event range you provide.

Worked example

How the calculation works

Each distribution has its own probability mass or density function. The calculator applies the chosen formula to the event or interval, using parameters such as trial count, success probability, mean or standard deviation.

When to use it

• Check probability and statistics coursework
• Estimate event likelihood under a stated model
• Verify inputs before implementing a distribution in code

Limits and checks

• A result is meaningful only when the chosen distribution fits the real process.
• Probabilities are model estimates, not guarantees of an outcome.
• Extreme parameters may be rounded because of floating-point limits.

Frequently asked questions

What is the difference between a discrete and continuous distribution?

A discrete distribution assigns probability to countable outcomes; a continuous distribution assigns probability to intervals.

Can a probability be greater than 1?

No. A valid probability must be between 0 and 1 inclusive.