Variance of a Poisson Distribution Calculator
States that the variance of a Poisson distributed random variable is equal to its rate parameter lambda.
Formula first
Overview
In a Poisson distribution, the variance is numerically identical to the expected value (mean). This property is a defining feature of the Poisson model and means the same parameter controls both central tendency and spread.
Symbols
Variables
Var(X) = Variance
Apply it well
When To Use
When to use: Apply this when you need the variance of a count modeled by a Poisson process.
Why it matters: It simplifies modeling because the same rate parameter determines both the mean and the variance.
Avoid these traps
Common Mistakes
- Confusing the variance with the standard deviation.
- Assuming the same relationship holds for all discrete distributions.
One free problem
Practice Problem
A radioactive source emits particles at a rate of 5 particles per second. What is the variance of the number of particles emitted per second?
Solve for: Var(X)
Hint: For a Poisson distribution, variance equals the rate parameter.
The full worked solution stays in the interactive walkthrough.
References
Sources
- Ross, S. M. (2014). A First Course in Probability.
- A-Level Mathematics: Statistics and Probability Specification.
- A-Level Mathematics Statistics Specification - Discrete Random Variables