Intermediate

Exponential Distribution Calculator

Compute exponential distribution probabilities, mean, and variance from a rate parameter λ and a value x.
Events per unit; mean = 1/λ
The point to evaluate (x ≥ 0)

Probability type

P(X < x)
0.6321

Probability for the selected region

Mean (1/λ)
2
Variance (1/λ²)
4
Std. deviation
2
P(X < x)
0.6321
P(X > x)
0.3679
PDF f(x)
0.1839
Probability density f(t) = λe^(−λt)
Step by step
  1. 1

    −λ × x

    −0.5 × 2 = -1
  2. 2

    e^(−λx)

    e^(-1) = 0.367879
  3. 3

    P(X < x) = 1 − e^(−λx)

    1 − 0.367879 = 0.6321
    Cumulative probability.
Results are estimates for general information only and are not professional advice — always verify important results independently before relying on them. Read the full disclaimer.
Quick answer

How does this calculator work?

For an exponential distribution with rate λ, the chance an event occurs before x is P(X<x) = 1 − e^(−λx) and after x is P(X>x) = e^(−λx). The mean equals 1/λ and the variance equals 1/λ². Enter λ and x to get these probabilities plus the density curve.

Formula
f(x) = λe^(−λx); P(X<x) = 1 − e^(−λx); P(X>x) = e^(−λx); Mean = 1/λ; Var = 1/λ²
How this is calculated

The exponential distribution models the waiting time between independent events that occur at a constant average rate λ. Enter the rate λ (events per unit of time or space) and a value x at which to evaluate the distribution. The rate must be positive and x must be non-negative.

The probability density function is f(x) = λe^(−λx) for x ≥ 0. The cumulative probability P(X < x) = 1 − e^(−λx) gives the chance the event happens before x, while the survival probability P(X > x) = e^(−λx) gives the chance you wait longer than x. The dropdown selects which of these is shown as the headline result; both are also listed in the breakdown.

The distribution has mean 1/λ and variance 1/λ², so larger rates mean shorter expected waits and tighter spread. It is memoryless: P(X > s + t | X > s) = P(X > t), so elapsed waiting time does not change the future distribution. Edge cases: λ ≤ 0 or x < 0 are invalid and return no result; as x grows, P(X < x) approaches 1 and P(X > x) approaches 0.

Frequently asked questions

λ is the average number of events per unit of time (or distance). Its reciprocal 1/λ is the mean waiting time between events.

Because the probability of waiting an additional time t does not depend on how long you have already waited: P(X > s + t | X > s) = P(X > t).

Yes. If you know the mean waiting time m, set λ = 1/m, since the mean of an exponential distribution equals 1/λ.

Also known as

exponential distribution
exponential probability
rate parameter lambda
waiting time probability
memoryless distribution
exponential pdf
time between events

APA

TG we-Calculate Editorial Team. (2026). Exponential Distribution Calculator [Online calculator]. TG we-Calculate. https://we-calculate.com/calculator/exponential-distribution-calculator

Chicago

TG we-Calculate Editorial Team. "Exponential Distribution Calculator." TG we-Calculate. 2026. https://we-calculate.com/calculator/exponential-distribution-calculator.

IEEE

TG we-Calculate Editorial Team, "Exponential Distribution Calculator," TG we-Calculate, 2026. [Online]. Available: https://we-calculate.com/calculator/exponential-distribution-calculator

BibTeX

@misc{wecalculate_exponential_distribution_calculator, title = {Exponential Distribution Calculator}, author = {{TG we-Calculate Editorial Team}}, howpublished = {\url{https://we-calculate.com/calculator/exponential-distribution-calculator}}, year = {2026}, note = {TG we-Calculate} }

Did this calculator help you?