Poisson Distribution
Learn all about Poisson Distribution in this comprehensive tutorial.
- •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.
Visualization of Poisson Distribution
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.
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.
Module quiz
2 questionsWhich of the following is true about Poisson Distribution?
What is the most common pitfall when working with Poisson Distribution?
Answer all questions to submit.