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Geometric Distribution Calculator

Compute the probability of the first success on trial k (or after k failures) from the per-trial success probability p.

Geometric Distribution Calculator works straight from this page — free, instant, nothing to install. It sits under Statistics & probability in our catalogue, alongside Geometric mean calculator and Beta Distribution Calculator.

How to use it

  1. Open the tool — no signup or install needed.
  2. Enter your input or adjust the available options.
  3. Get your result instantly, then copy or download it.

Frequently asked questions

What does Geometric Distribution Calculator do?

Compute the probability of the first success on trial k (or after k failures) from the per-trial success probability p.

When would I actually use this?

Summarising a dataset before drawing conclusions from it, checking whether a difference between two groups is real, and putting an interval around an estimate.

What is the most common mistake?

Reading a p-value as the probability that the hypothesis is wrong. It is the probability of seeing data at least this extreme if the null were true — a different statement, and a much weaker one.

How is Geometric Distribution Calculator different from Geometric mean calculator?

They sit next to each other but answer different questions: Geometric mean calculator is the one to open when you need it to compute the geometric mean of a list of positive numbers. Pick whichever matches what you're starting from — both are free.

Is there a tool for the next step?

Beta Distribution Calculator is the closest one after this: Compute beta-distribution probabilities on [0,1] from shape parameters α and β via the regularized incomplete beta function.

What else is worth having open alongside it?

Exponential Distribution Calculator and Gaussian Distribution Generator — they come up in the same task often enough to be worth a second tab.

Where do the figures come from?

Distributions and test statistics are computed from their standard definitions, not from a lookup table, so results carry more digits than a printed table would. The assumptions each test makes are stated with it.

Further reading

All guides