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Exponential Distribution

Exponential distribution calculator. Enter λ and x to compute the CDF, survival probability, mean and variance, with density notes—for reliability modeling.

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P(X≤x)=1−e^(−λx)
λ>0
compute P(X ≤ x)

📖 Tutorial | Exponential Distribution

1. Definition
Exponential distribution models the wait X between Poisson events, density f(x)=λe^(−λx) (x≥0), CDF F(x)=1−e^(−λx), memoryless.
2. Symbols
SymbolMeaning
λrate parameter
xwaiting time
F(x)=1−e^(−λx)cumulative probability
E(X)=1/λmean wait
3. How it works
  • CDF F(x)=1−e^(−λx);
  • Survival P(X>x)=e^(−λx);
  • Mean E(X)=1/λ, variance 1/λ²;
  • Memoryless: P(X>s+t|X>s)=P(X>t).
4. Steps
  1. Enter λ, e.g. 0.5;
  2. Enter x, e.g. 2;
  3. Click Calculate for P(X≤2);
  4. Read the survival, mean and variance.
5. Example
Example: λ=0.5, x=2. P(X≤2)=1−e^(−1)=0.6321; mean wait 1/0.5=2.
6. Pitfalls
x cannot be negative;
Memoryless means the remaining-life distribution is the same, not “old age has no effect”;
λ is events per unit time, not the mean time.

❓ FAQ | Exponential Distribution

What is memorylessness?
Having waited s does not change the remaining wait: P(X>s+t|X>s)=P(X>t).
Why is the mean 1/λ?
λ is events per unit time, so the mean gap is its reciprocal.
Relation to Poisson?
Poisson counts events; exponential gaps; they share λ.
Can x be negative?
No; defined for x≥0.
Where is it used?
Lifetime, inter-arrival, queuing wait times.