Geometric Distribution Calculator

Geometric distribution calculator. Compute probability of first success on the k-th trial or number of failures before first success, plus CDF, mean, and variance. Includes formulas and explanations.

Full original guide (expanded)

Geometric Distribution Calculator

Compute probabilities for the geometric distribution in both common parameterizations: either the trial on which the first success occurs (k = 1, 2, 3, …) or the number of failures before the first success (x = 0, 1, 2, …). Enter the success probability p and the trial/failure number to get PMF, CDF, and tail probabilities.

0 < p ≤ 1

for trials: k ≥ 1

Showing first 10 probabilities for current parameterization.

PMF

CDF

Mean

E[X] = 1/p

Variance

Var = (1-p)/p²

Range result

k/x PMF CDF

Formulas

Parameterization 1 (trial of first success):

\( P(X = k) = (1 - p)^{k - 1} \, p \quad \text{for } k = 1, 2, 3, \dots \)

\( F(k) = P(X \le k) = 1 - (1 - p)^k \)

\( \mathbb{E}[X] = \frac{1}{p}, \quad \mathrm{Var}(X) = \frac{1 - p}{p^2} \)


Parameterization 2 (failures before first success):

\( P(Y = x) = (1 - p)^x \, p \quad \text{for } x = 0, 1, 2, \dots \)

\( F(x) = P(Y \le x) = 1 - (1 - p)^{x+1} \)

\( \mathbb{E}[Y] = \frac{1 - p}{p}, \quad \mathrm{Var}(Y) = \frac{1 - p}{p^2} \)

When to use the geometric distribution

  • Bernoulli trials, all independent.
  • Same success probability p at each trial.
  • Interested in the first success only.

Audit: Complete
Formula (LaTeX) + variables + units
This section shows the formulas used by the calculator engine, plus variable definitions and units.
Formula (extracted LaTeX)
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Formula (extracted text)
Parameterization 1 (trial of first success): \( P(X = k) = (1 - p)^{k - 1} \, p \quad \text{for } k = 1, 2, 3, \dots \) \( F(k) = P(X \le k) = 1 - (1 - p)^k \) \( \mathbb{E}[X] = \frac{1}{p}, \quad \mathrm{Var}(X) = \frac{1 - p}{p^2} \) Parameterization 2 (failures before first success): \( P(Y = x) = (1 - p)^x \, p \quad \text{for } x = 0, 1, 2, \dots \) \( F(x) = P(Y \le x) = 1 - (1 - p)^{x+1} \) \( \mathbb{E}[Y] = \frac{1 - p}{p}, \quad \mathrm{Var}(Y) = \frac{1 - p}{p^2} \)
Variables and units
  • No variables provided in audit spec.
Sources (authoritative):
Changelog
Version: 0.1.0-draft
Last code update: 2026-01-19
0.1.0-draft · 2026-01-19
  • Initial audit spec draft generated from HTML extraction (review required).
  • Verify formulas match the calculator engine and convert any text-only formulas to LaTeX.
  • Confirm sources are authoritative and relevant to the calculator methodology.
Verified by Ugo Candido on 2026-01-19
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Formulas

(Formulas preserved from original page content, if present.)

Version 0.1.0-draft
Citations

Add authoritative sources relevant to this calculator (standards bodies, manuals, official docs).

Changelog
  • 0.1.0-draft — 2026-01-19: Initial draft (review required).