Calculate skewed variables using GAMMA.DIST.

`GAMMADIST(x,alpha,beta,cumulative)`

- x - required, the value at which to evaluate the distribution
- alpha - required, a parameter to the distribution
- beta - required, a parameter to the distribution
- cumulative - required, determines the form of the function

`=GAMMA.DIST(x, alpha, beta, TRUE)`

GAMMA.DIST can also be used to calculate the area under the curve of a given gamma distribution. For instance, calculates the area under the curve from 0 to x in a gamma distribution with parameters alpha and beta.

`=GAMMA.DIST(x, (mean^2)/variance, variance/mean, cumulative)`

GAMMA.DIST can calculate the probability of a value in a gamma distribution with a specified mean and standard deviation. For example, this formula calculates the probability of a given value x in a gamma distribution with a mean of mean and a standard deviation of variance, with the cumulative argument set to TRUE or FALSE.

`=GAMMA.DIST(probability, alpha, beta, TRUE)`

GAMMA.DIST can also be used to calculate the inverse of a given probability in a gamma distribution. For instance, this example calculates the inverse of a given probability in a gamma distribution with parameters alpha and beta.

The GAMMA.DIST function is used to calculate the gamma distribution, also known as the Erlang distribution. It takes five arguments - X, Alpha, Beta, Cumulative, and Cumulative - to determine the shape of the function.

- The GAMMA.DIST function returns the gamma distribution, which is commonly used in queue analysis.
- It is used to study variables with a skewed distribution.

The GAMMA.DIST function calculates the gamma distribution.

The gamma distribution is used in queuing analysis.

No, X cannot be negative when using the GAMMA.DIST function.

Drop CSV