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Poisson distribution shows the probability of a given number of events occurring in a fixed interval of time. Example; if average of 5 cars are passing through in 1 minute. probability of 4 cars passing can be calculated by using Poisson distribution.

Exponential distribution shows the probability of waiting times between occurrences of events.

If we use the same example; probability of a car coming in next 40 seconds can be calculated by using exponential distribution.

-Poisson : probability of x times occurrence

-Exponential : probability of waiting times between events.

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Q: Relationship between Exponential and Poisson Distributions?
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Assuming that "piossion" refers to Poisson, they are simply different probability distributions that are applicable in different situations.


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There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.


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