Discrete and Continuous Random Variables (AQA A-Level Further Maths): Flashcards

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The Poisson Distribution
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Type of distribution for random events in fixed interval

Poisson distribution

Poisson PDF formula

P(X=x)=eλλxx!P(X = x) = \frac{e^{-\lambda}\lambda^x}{x!}

Notation for Poisson with parameter λ\lambda

XPo(λ)X \sim \text{Po}(\lambda)

Relationship between mean and variance in Poisson

Mean = variance = λ\lambda

Mnemonic for Poisson conditions

RICE: Random, Independent, Constant rate, Events don't overlap

Test to check if data follows Poisson distribution

Check if mean ≈ variance

Sum of independent Poisson variables

X+YPo(λx+λy)X + Y \sim \text{Po}(\lambda_x + \lambda_y)

Events at rate λ\lambda per interval, parameter for nn intervals

nλn\lambda

What parameter λ\lambda represents in Poisson

Mean number of occurrences in the given interval

Standard deviation of Poisson with variance λ\lambda

λ\sqrt{\lambda}

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