# WEIBULL

### Definition of 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`

.

### See Also:

`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`

: 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.

### In order to use the WEIBULL formula, start with your edited Excellentable:

### Then type in the WEIBULL formula in the area you would like to display the outcome:

### By adding the values you would like to calculate the WEIBULL formula for, Excellentable will generate the outcome: