### Definition

Returns the inverse of the gamma cumulative distribution. If p = GAMMA.DIST(x,...), then GAMMA.INV(p,...) = x. You can use this function to study a variable whose distribution may be skewed.

### Syntax

GAMMA.INV(probability,alpha,beta)

The GAMMA.INV function syntax has the following arguments:

• Probability     Required. The probability associated with the gamma distribution.

• Alpha     Required. A parameter to the distribution.

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

### Remarks

• If any argument is text, GAMMA.INV returns the #VALUE! error value.

• If probability < 0 or probability > 1, GAMMA.INV returns the #NUM! error value.

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

Given a value for probability, GAMMA.INV seeks that value x such that GAMMA.DIST(x, alpha, beta, TRUE) = probability. Thus, precision of GAMMA.INV depends on precision of GAMMA.DIST. GAMMA.INV uses an iterative search technique. If the search has not converged after 64 iterations, the function returns the #N/A error value.

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

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