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Analyzes exponential distribution (waiting time) with mean 1/λ, used for modeling queues and failures.

Wzór

Mean = 1/λ, Variance = 1/λ²

Przewodnik krok po kroku

  1. 1PDF: f(x) = λe^(-λx)
  2. 2CDF: F(x) = 1 - e^(-λx)
  3. 3Mean = 1/λ, Variance = 1/λ²
  4. 4Memoryless property: P(X > s+t | X > s) = P(X > t)

Rozwiązane przykłady

Wejście
λ=0.5, x=2
Wynik
P=0.368

Częste błędy do unikania

  • Using normal distribution for time data (exponential better)
  • Wrong λ parameter (rate, not 1/rate)
  • Not checking memoryless property applicability

Często zadawane pytania

What's practical use?

Customer arrivals (Poisson), equipment failures, radioactive decay, service times.

What's memoryless property?

Past waiting time doesn't affect future; no "aging" effect.

Gotowy do obliczeń? Wypróbuj darmowy kalkulator Exponential Dist

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Ustawienia

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