# EXPON.DIST

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 `cumulative` is `TRUE` then `EXPON.DIST` returns the cumulative probability of all values up to `x`.
• `lambda` - The lambda to specify the exponential distribution function.

• `cumulative` - Whether to use the exponential cumulative distribution.

### Note

• You can use `EXPONDIST` or `EXPON.DIST` to perform this function.

`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.