The Poisson Distribution (Edexcel A-Level Further Mathematics): Flashcards

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The Poisson Distribution
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Exponential dist. vs Poisson dist.

Exponential: continuous (time between events); Poisson: discrete (count)

What exponential dist. models

Time between events

Exponential: if mean = μ\mu, then λ\lambda = ?

λ=1μ\lambda = \frac{1}{\mu}

Three conditions for Poisson model

Rare, constant rate, independent

Poisson formula: P(X=x)P(X = x) = ?

eλλxx!\frac{e^{-\lambda} \lambda^x}{x!}

Poisson: discrete or continuous?

Discrete

Sum: Po(λ1)+Po(λ2)Po(\lambda_1) + Po(\lambda_2) = ?

Po(λ1+λ2)Po(\lambda_1 + \lambda_2)

Po(λ)Po(\lambda) per hour. Over nn hours?

Po(nλ)Po(n\lambda)

P(X>k)P(X > k) for Poisson using complement

1P(Xk)1 - P(X \leq k)

Exponential PDF f(x)f(x) = ?

λeλx\lambda e^{-\lambda x} for x>0x > 0

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