- #36
sol59
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haruspex said:You got there!
Thank you so much for your help! I've managed to solve all other problems but this one was too difficult for me:) Thanks again:)!
haruspex said:You got there!
The Poisson Distribution is a statistical distribution that is used to model the probability of a certain number of events occurring within a fixed interval of time or space. It is often used to analyze rare events or events that occur randomly.
The Poisson Distribution assumes that the events occur independently of each other, the average rate of events is constant, and the probability of an event occurring in a small interval of time or space is proportional to the size of the interval.
The Poisson Distribution is different from the Normal Distribution in that it is used to model discrete events, while the Normal Distribution is used to model continuous events. Additionally, the Poisson Distribution has only one parameter (the average rate of events), while the Normal Distribution has two parameters (mean and standard deviation).
The Poisson Distribution should be used when analyzing rare events or events that occur randomly, such as the number of accidents in a day or the number of customers arriving at a store in an hour. It is also used in situations where the number of events is limited to a specific time or space interval.
The Poisson Distribution is calculated using the formula P(x) = (e^-λ * λ^x) / x!, where λ is the average rate of events and x is the number of events. This formula can be used to calculate the probability of a specific number of events occurring within a fixed interval of time or space.