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- is the number of events.
- is the mean
- is the logical value like TRUE or FALSE.
- This function gives the value of the Poisson distribution.
- The Poisson distribution is a discrete probability distribution for the counts of events that occur randomly in a given interval of time.
- It is is used to model the number of events occurring within a given time interval.
- In , is the number of events in a given interval of time, is the Average Numeric value and is the logical value.
- If it is TRUE, this function will give the Cumulative Poisson Probability with the number of random events between and (included).
- If it is FALSE, this function will give the Poisson Probability Mass function with the number of events occurring will be exactly .
- The probability mass function is:
where is the shape parameter and . is the base of the natural logarithm (e=2.718282).
- The Cumulative Poisson Probability function is:
- This function will return the result as error when
1. or is non-numeric. 2. or .
- =POISSON(6,2,TRUE) = 0.995466194
- =POISSON(6,2,FALSE) = 0.012029803
- =POISSON(10.2,7,TRUE) = 0.901479206
- =POISSON(10.2,7,FALSE) = 0.070983269
- =POISSON(6,0,TRUE) = 1