POISSON.DIST

Returns the value of the Poisson distribution function (or Poisson cumulative distribution function) for a specified value and mean.

Sample Usage

POISSON.DIST(2.4,1,FALSE)

POISSON.DIST(A2,A3,TRUE)

Syntax

POISSON.DIST(x, mean, cumulative)

• x - The input to the Poisson distribution function.

• mean - The mean (mu) of the Poisson distribution function.

• cumulative - Whether to use the Poisson cumulative distribution function rather than the distribution function..

Notes

• The Poisson distribution function is typically used to calculate the number of 'arrivals' or 'events' over a period of time, such as the number of network packets or login attempts given some mean.

• If cumulative is TRUE then POISSON.DIST returns the probability of x or fewer events, otherwise the probability of exactly x events.

• You can use POISSON or POISSON.DIST to perform this function. 

See Also

WEIBULL: Returns the value of the Weibull distribution function (or Weibull cumulative distribution function) for a specified shape and scale.

NORMSINV: Returns the value of the inverse standard normal distribution function for a specified value.

NORMSDIST: Returns the value of the standard normal cumulative distribution function for a specified value.

NORMINV: Returns the value of the inverse normal distribution function for a specified value, mean, and standard deviation.

NORMDIST: The NORMDIST function returns the value of the normal distribution function (or normal cumulative distribution function) for a specified value, mean, and standard deviation.

NEGBINOMDIST: Calculates the probability of drawing a certain number of failures before a certain number of successes given a probability of success in independent trials.

LOGNORMDIST: Returns the value of the log-normal cumulative distribution with given mean and standard deviation at a specified value.

LOGINV: Returns the value of the inverse log-normal cumulative distribution with given mean and standard deviation at a specified value.

EXPONDIST: Returns the value of the exponential distribution function with a specified lambda at a specified value.

BINOMDIST: Calculates the probability of drawing a certain number of successes (or a maximum number of successes) in a certain number of tries given a population of a certain size containing a certain number of successes, with replacement of draws.

Examples