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.