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Google trend - Poisson

Un très rare poisson-main rose filmé dans une épave du XIXe siècle ...

Vidéo GEO : Les poissons peuvent-ils se noyer ? C'est une jolie découverte qu'ont faite des plongeurs. Ils ont pu observer un rare poisson-main rose ...

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Pays-Bas : pourquoi sonner les cloches à des poissons captive plus ...

Aux Pays-Bas, un curieux programme de diffusion en direct sur Internet consacré à la migration des poissons passionnent plus d'un million...

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Poisson - 10 things to know with detail
  • Poisson distribution is a probability distribution that describes the number of events occurring in a fixed interval of time or space.
  • It is named after French mathematician Siméon Denis Poisson, who first introduced it in the early 19th century.
  • The Poisson distribution is characterized by a single parameter λ (lambda), which represents the average rate of occurrence of the events.
  • The probability mass function of the Poisson distribution is given by P(X = k) = (e^(-λ) * λ^k) / k!, where X is the random variable representing the number of events, k is the number of events, e is the base of the natural logarithm, and ! denotes factorial.
  • The Poisson distribution is often used to model rare events, such as the number of customer arrivals at a service center, the number of phone calls received in a call center, or the number of defects in a product.
  • The Poisson distribution assumes that the events occur independently of each other and at a constant average rate throughout the interval of interest.
  • The mean and variance of a Poisson distribution are both equal to λ.
  • The Poisson distribution is a limiting case of the binomial distribution when the number of trials is large and the probability of success is small.
  • The Poisson distribution is commonly used in various fields such as finance, biology, telecommunications, and reliability analysis.
  • The Poisson distribution has several applications in real-world scenarios, such as modeling traffic flow, predicting the number of accidents in a given period, and estimating the number of emails received in a mailbox.
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