# WEIBULL

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

### Sample Usage

`WEIBULL(2.4, 2, 3, TRUE)`

`WEIBULL(A2,A3,A4,TRUE)`

### Syntax

`WEIBULL(x, shape, scale, cumulative)`

• `x` - The input to the Weibull distribution function.

• `shape` - The shape parameter of the Weibull distribution function.

• `shape` is usually denoted k, and denoted as alpha in other spreadsheet packages.

• `shape` must be greater than `0`.

• `scale` - The scale parameter of the Weibull distribution function.

• `scale` is usually denoted lambda in texts, and denoted as beta in other spreadsheet packages.

• `scale` must be greater than `0`.

• `cumulative` - `TRUE` to use the cumulative distribution function, `FALSE` to use the probability density function.

### Notes

• If `shape` is `1`, `WEIBULL` is equivalent to `EXPONDIST` with `lambda` set to `1/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.

`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.