NumPy Tutorial · NumPy Random

Poisson Distribution

Learn all about Poisson Distribution in this comprehensive tutorial.

5 min read advanced
  • Poisson Distribution is a Discrete Distribution.
  • Normal distribution is continuous whereas poisson is discrete.
  • Binomial distribution only has two possible outcomes, whereas poisson distribution can have unlimited possible outcomes.

Poisson Distribution

Poisson Distribution is a Discrete Distribution.

It estimates how many times an event can happen in a specified time. e.g. If someone eats twice a day what is the probability he will eat thrice?

It has two parameters:

lam - rate or known number of occurrences e.g. 2 for above problem.

size - The shape of the returned array.

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Visualization of Poisson Distribution

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Difference Between Normal and Poisson Distribution

Normal distribution is continuous whereas poisson is discrete.

But we can see that similar to binomial for a large enough poisson distribution it will become similar to normal distribution with certain std dev and mean.

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Difference Between Binomial and Poisson Distribution

Binomial distribution only has two possible outcomes, whereas poisson distribution can have unlimited possible outcomes.

But for very large n and near-zero p binomial distribution is near identical to poisson distribution such that n * p is nearly equal to lam.

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Module quiz

2 questions
1

Which of the following is true about Poisson Distribution?

2

What is the most common pitfall when working with Poisson Distribution?

Answer all questions to submit.