How can you recognize a poisson distribution?

Question

sukljama2 · Accepted Answer

Explanation:
For example, number hurricanes per year in a particular region.
discrete means that the variable can only take countable values.
no upper bound separates this from binomial, theoretically speaking, the number hurricanes have no upper bound. If 7 have occurred this year, the 8th could still occur.
fixed rate means that the expected number of hurricanes should not change. This expectation is denoted by rate

(λ)

, it is a parameter of poisson distribution.
Another example: X= number of dead pixels on the screens of a particular cellphone. Even though it has an upper bound but modern cellphones (FHD display) have about 2 million pixels and number of dead pixels are typically 2 or 3.
An important assumption for calculation is that no two arrivals coincide. So for example, if you want to model the number of customers entering in a restaurant, no two customers can enter at the same point of time.

poleglit3 · Accepted Answer

Poisson distribution is individually seperate and distinct or we can say it is discrete. It doesnt

How can you recognize a poisson distribution?

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