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Poisson Distribution Probability Calculator

The Poisson distribution models the probability of a given number of independent discrete events occurring within a fixed interval of time or space.

Average number of occurrences in the fixed interval.

Target number of events to calculate probability for.

Calculated Result
22.404%

P(X = 2)

Exact P(X = 2)

22.404%

Cumulative P(X ≤ 2)

42.319%

Tail P(X > 2)

57.681%

Expected Mean (λ)

3

Standard Deviation

1.732

Calculation Breakdown

  1. Poisson Mass Function FormulaP(X = 2) = (λᵏ × e⁻ᵞ) ÷ k! = (3ᵏ × e⁻3) ÷ 2! = 0.22404.
  2. Cumulative ProbabilityP(X ≤ 2) = ∑ P(X = i) from i=0 to 2 = 42.319%.

Poisson Probability Mass by Event Count (λ = 3)

Interactive visualization based on your current inputs

P(X = k)
0.05.6111722k = 0k = 1k = 2k = 3k = 4k = 5Events (k)Probability (%)

What Is the Poisson Distribution Probability Calculator?

A Poisson distribution probability calculator determines likelihood of discrete counts occurring over time or spatial areas.

How Does the Poisson Distribution Probability Calculator Work?

Evaluates the discrete probability mass function (PMF) and sums sequential steps for cumulative distribution (CDF).

Poisson Distribution Probability Calculator Formula & Variables

The core mathematical equation utilized by this calculator is expressed as:

P(X = k) = (λᵏ × e⁻ᵞ) ÷ k!

Multiplies average rate raised to k by e raised to negative lambda, divided by the factorial of k.

How to Use the Poisson Distribution Probability Calculator

  1. Input the average historical occurrence rate λ and your query event count k.

Step-by-Step Example Calculation

Average rate λ = 3 with target k = 2

Input Values:

lambda:3
k:2

Understanding Your Result

Displays exact point probability, cumulative probability of at most k events, and tail probability of more than k events.

Factors That Affect the Result

  • Mean event rate λ dictates the center and spread of the distribution.

When Should You Use This Calculator?

  • Call center queue modeling, website server request provisioning, hospital ER admissions, and defect rate inspections.

Assumptions & Limitations

  • Events must occur independently and at a constant continuous rate.

Frequently Asked Questions

Calculation Accuracy & Reference Note

Siméon Denis Poisson formulation evaluated with exact factorial expansion.

Explore more tools and calculators in Statistics Calculators