Definition of Poisson distribution:
Discrete random variable distribution that expresses probabilities concerning the number of events per unit time. Unlike normal distribution, it is not symmetrical but instead is skewed to the left of the median. Good for inspection sampling, it is employed where the probability of an event is small and the number of opportunities for the event is large, such as the number of misprints in a book. Poisson distribution is an extension of binomial distribution and can be used as its approximation. One of its unusual properties is that its standard deviation equals the square root of the mean. Discovered in 1837 by the French mathematician Siméon-Davis Poisson (1781-1840).
A discrete frequency distribution which gives the probability of a number of independent events occurring in a fixed time.
In statistics, a Poisson distribution is a statistical distribution that shows how many times an event is likely to occur within a specified period of time. It is used for independent events which occur at a constant rate within a given interval of time.
The Poisson distribution is a discrete function, meaning that the event can only be measured as occurring or not as occurring, meaning the variable can only be measured in whole numbers. Fractional occurrences of the event are not a part of the model. it was named after French mathematician Siméon Denis Poisson.
How to use Poisson distribution in a sentence?
- You should know what the poisson distribution might be before you release a new product into your companies market place.
- It was named after mathematician Siméon Denis Poisson.
- The poisson distribution indicated the density of our product in the market based on the research data accumulated so far this year.
- In this he was the first to note that events with low frequency in a large population followed a Poisson distribution even when the probabilities of the events varied.
- A Poisson distribution is a measure of how many times an event is likely to occur within "X" period of time.
- Example: A video store averages 400 customers every Friday night. What is the probability that 600 customers will come in on any given Friday night?.
- You need to know how the poisson distribution could effect things for you and have a plan to react when you need to.
Meaning of Poisson distribution & Poisson distribution Definition