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## Main Question or Discussion Point

Hello!

I am writing because I recently became interested in probability distributions, and I have to you a few questions.

Poisson distribution is given as a probability:

[itex]f(k;\lambda)=\frac{\lambda^{k}e^{-\lambda}}{k!}[/itex]

But what is lambda?

Suppose that we consider as an unrelated incident falling raindrops. If these drops fall 100 in 1 on a surface second how much [itex]\lambda[/itex] will be?

How to check if the falling drops of rain or some other unrelated events are described in this distribution?

I am writing because I recently became interested in probability distributions, and I have to you a few questions.

Poisson distribution is given as a probability:

[itex]f(k;\lambda)=\frac{\lambda^{k}e^{-\lambda}}{k!}[/itex]

But what is lambda?

Suppose that we consider as an unrelated incident falling raindrops. If these drops fall 100 in 1 on a surface second how much [itex]\lambda[/itex] will be?

How to check if the falling drops of rain or some other unrelated events are described in this distribution?

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