# How to Use WEIBULL in Google Sheets in 2020?

WEIBULLReturns 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.

Examples