Concept

Exponential Distribution

The exponential distribution models waiting time to the next event in a Poisson process.

Page Contract
Role
Concept
Level
Core
Time
Reference
Freshness
Stable
Search Intent
exponential distribution

Formula

If T is exponential with rate lambda, the survival probability decays exponentially with time.

Survival function
P(T>t)=eλtP(T>t)=e^{-\lambda t}
Mean and variance
E[T]=1λ,Var(T)=1λ2E[T]=\frac{1}{\lambda},\qquad \operatorname{Var}(T)=\frac{1}{\lambda^2}

Worked Example

If claim arrivals average 0.5 per day, the chance the next claim takes more than 3 days is e^(-0.5 x 3), about 0.223.

Common Mistake

The memoryless property is about remaining waiting time, not about the event becoming impossible or guaranteed after time passes.

References And Official Sources