# GAMMA.DIST

### Definition

Returns the gamma distribution. You can use this function to study variables that may have a skewed distribution. The gamma distribution is commonly used in queuing analysis.

### Sample Usage

### Syntax

GAMMA.DIST(x,alpha,beta,cumulative)

The GAMMA.DIST function syntax has the following arguments:

X Required. The value at which you want to evaluate the distribution.

Alpha Required. A parameter to the distribution.

Beta Required. A parameter to the distribution. If beta = 1, GAMMA.DIST returns the standard gamma distribution.

Cumulative Required. A logical value that determines the form of the function. If cumulative is TRUE, GAMMA.DIST returns the cumulative distribution function; if FALSE, it returns the probability density function.

### Remarks

If x, alpha, or beta is nonnumeric, GAMMA.DIST returns the #VALUE! error value.

If x < 0, GAMMA.DIST returns the #NUM! error value.

If alpha ≤ 0 or if beta ≤ 0, GAMMA.DIST returns the #NUM! error value.

The equation for the gamma probability density function is:

The standard gamma probability density function is:

When alpha = 1, GAMMA.DIST returns the exponential distribution with:

For a positive integer n, when alpha = n/2, beta = 2, and cumulative = TRUE, GAMMA.DIST returns (1 - CHISQ.DIST.RT(x)) with n degrees of freedom.

When alpha is a positive integer, GAMMA.DIST is also known as the Erlang distribution.

### In order to use the GAMMA.DIST formula, start with your edited Excellentable:

### Then type in the GAMMA.DIST formula in the area you would like to display the outcome:

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