When is it appropriate to assume that data fits into

Gwendolyn Willett

Gwendolyn Willett

Answered question

2022-01-19

When is it appropriate to assume that data fits into a Poisson distribution?

Answer & Explanation

Fasaniu

Fasaniu

Beginner2022-01-19Added 46 answers

The Poisson is a discrete random variable. Start by checking to see if the parameters of the data are similar to the Poisson.
Explanation:
The parameters of the Poisson (mean and variance) are equal .
p(x)=(eλ)(λ)xx!
where, mean = variance = λ
So, if the discrete data has equal mean and variance, then try using the Poisson.
Samantha Brown

Samantha Brown

Beginner2022-01-20Added 35 answers

The Poisson distribution is an appropriate model if the following assumptions are true: k is the number of times an event occurs in an interval and k can take values 0, 1, 2, …. The occurrence of one event does not affect the probability that a second event will occur. That is, events occur independently.

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