Why do we require conditions for the Poisson Distribution?

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SUMMARY

The Poisson Distribution requires three specific conditions for valid application: a constant average count rate over time, independence of counts, and the probability of two or more counts occurring in a given interval being zero. The first two conditions stem directly from the definition of the distribution, ensuring that the data adheres to its properties. The third condition relates to the discrete nature of the Poisson Distribution, indicating that if these conditions are not met, the data cannot be considered Poisson distributed.

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  • Understanding of Poisson Distribution fundamentals
  • Knowledge of statistical independence
  • Familiarity with discrete probability distributions
  • Basic concepts of count data in statistics
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  • Research the properties of the Poisson Distribution in detail
  • Study statistical independence and its implications in probability
  • Explore discrete probability distributions beyond Poisson
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Statisticians, data analysts, and researchers working with count data who need to understand the conditions for applying the Poisson Distribution effectively.

chi_rho
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Three conditions must be met in order for the Poisson Distribution to be used:

1) The average count rate is constant over time
2) The counts occurring are independent
3) The probability of 2 or more counts occurring in the interval $n$ is zero

Simply, why must these conditions be met for valid use of the Poisson Distribution?
 
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The first two are based on the definition. I am not sure what the third condition is, but being independent the counts may be arbitrarily close..
 
3) seems to be something related to some discrete approximation to the Poisson distribution, not pertaing to the proper distribution per se.

The other two are simply properties of the distribution. If they don't hold, the data aren't Poisson distributed in the first place.
 

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