Returns the value of the exponential distribution function with a specified lambda at a specified value.
Sample Usage
EXPON.DIST(4,0.5,FALSE)
EXPON.DIST(A2,A3,A4)
Syntax
EXPON.DIST(x, lambda, cumulative)
-
x- The input to the exponential distribution function.- If
cumulativeisTRUEthenEXPON.DISTreturns the cumulative probability of all values up tox.
- If
-
lambda- The lambda to specify the exponential distribution function. -
cumulative- Whether to use the exponential cumulative distribution.
Note
- You can use
EXPONDISTorEXPON.DISTto 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.
POISSON: Returns the value of the Poisson distribution function (or Poisson cumulative distribution function) for a specified value and mean.
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.
HYPGEOMDIST: Calculates the probability of drawing a certain number of successes in a certain number of tries given a population of a certain size containing a certain number of successes, without replacement of draws.
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.