Calculate the inverse of a gamma distribution.

`GAMMA.INV(probability,alpha,beta)`

- probability - required argument associated with the gamma distribution
- alpha - required parameter of the distribution
- beta - required parameter of the distribution

`=GAMMA.INV(A2,A3,A4)`

The GAMMA.INV function can be used to calculate the inverse of the gamma cumulative distribution, and takes in values for A2, A3, and A4 and returns the inverse of the gamma cumulative distribution.

`=GAMMA.INV(0.5,5,0.1)`

To demonstrate this, let's say we have three values: A2 = 0.5, A3 = 5, and A4 = 0.1. We can use the formula to calculate the inverse of the gamma cumulative distribution for these values. The result of this calculation is 4.1614.

`=GAMMA.INV(0.5,5,0.1,4.1614)`

The GAMMA.INV function can also be used to calculate the probability of a random variable X taking on a value less than or equal to x. For example, if we want to calculate the probability of X taking on a value less than or equal to 4.1614 when A2 = 0.5, A3 = 5, and A4 = 0.1, we can use this formula. The result of this calculation is 0.5.

GAMMA.INV is a function which is used to calculate the inverse of the gamma cumulative distribution. It is an important tool for statistical analysis.

- The GAMMA.INV function returns the inverse of the gamma distribution using an iterative search method.
- The GAMMA.INV function examines a variable whose distribution may be skewed.

The GAMMA.INV function is a statistical tool used to return the inverse of the gamma distribution.

The gamma distribution is a type of probability distribution that is used to model the time between events in a Poisson point process, or to describe the distribution of waiting times between Poisson distributed events.

The inverse of the gamma distribution is the inverse function of the gamma distribution, which is used to calculate the probability of a given value occurring in the distribution.

The GAMMA.INV function returns the inverse of the gamma distribution, which can be used to calculate the probability of a given value occurring in the distribution.

The inputs of the GAMMA.INV function are the shape (alpha) and scale (beta) parameters of the gamma distribution.

The output of the GAMMA.INV function is the inverse of the gamma distribution, which is used to calculate the probability of a given value occurring in the distribution.