Exponential Distribution
The exponential distribution with parameter λ > 0 has probability density function f(x) = λe^(-λx) for x ≥ 0, and cumulative distribution function F(x) = 1 - e^(-λx). The mean is E(X) = 1/λ and variance is Var(X) = 1/λ². It models the memoryless waiting time until the next event in a Poisson process.
Real World
Uber uses the exponential distribution to model the waiting time between ride requests arriving in a given area, helping them deploy drivers efficiently.
Exam Focus
State the memoryless property explicitly if asked to justify the model; examiners award marks for naming it.
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