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- https://stats.libretexts.org/Courses/Fresno_City_College/Introduction_to_Business_Statistics_-_OER_-_Spring_2023/04%3A_Discrete_Random_Variables/4.05%3A_Poisson_DistributionThese are: the probability of a success, μ, is unchanged within the interval, there cannot be simultaneous successes within the interval, and finally, that the probability of a success among int...These are: the probability of a success, μ, is unchanged within the interval, there cannot be simultaneous successes within the interval, and finally, that the probability of a success among intervals is independent, the same assumption of the binomial distribution. The Poisson is asking for the probability of a number of successes during a period of time while the binomial is asking for the probability of a certain number of successes for a given number of trials.
- https://stats.libretexts.org/Courses/Fresno_City_College/Book%3A_Business_Statistics_Customized_(OpenStax)/04%3A_Discrete_Random_Variables/4.05%3A_Poisson_DistributionThese are: the probability of a success, μ, is unchanged within the interval, there cannot be simultaneous successes within the interval, and finally, that the probability of a success among int...These are: the probability of a success, μ, is unchanged within the interval, there cannot be simultaneous successes within the interval, and finally, that the probability of a success among intervals is independent, the same assumption of the binomial distribution. The Poisson is asking for the probability of a number of successes during a period of time while the binomial is asking for the probability of a certain number of successes for a given number of trials.
- https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/BFE_1201_Statistical_Methods_for_Finance_(Kuter)/04%3A_Random_Variables/4.03%3A_Poisson_DistributionThese are: the probability of an occurrence is unchanged within the interval, there cannot be simultaneous occurrences within the interval, and finally, that the probability of a occurrence among inte...These are: the probability of an occurrence is unchanged within the interval, there cannot be simultaneous occurrences within the interval, and finally, that the probability of a occurrence among intervals is independent, the same assumption of the binomial distribution. The Poisson is asking for the probability of a number of successes during a period of time while the binomial is asking for the probability of a certain number of successes for a given number of trials.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/04%3A_Discrete_Random_Variables/4.04%3A_Poisson_DistributionThis page discusses the Poisson distribution, which models the number of events in a fixed interval, applicable in fields like telecommunications and banking. It emphasizes the independence of events ...This page discusses the Poisson distribution, which models the number of events in a fixed interval, applicable in fields like telecommunications and banking. It emphasizes the independence of events and known average rates. The distribution estimates probabilities for events and approximates the binomial distribution under certain conditions.
