Returns the one-tailed probability of the chi-squared distribution. The γ2 distribution is associated with a γ2 test. Use the γ2 test to compare observed and expected values. For example, a genetic experiment might hypothesize that the next generation of plants will exhibit a certain set of colors. By comparing the observed results with the expected ones, you can decide whether your original hypothesis is valid.

## Syntax

CHIDIST(x,degrees_freedom)

X     is the value at which you want to evaluate the distribution.

Degrees_freedom     is the number of degrees of freedom.

## Remarks

• If either argument is nonnumeric, CHIDIST returns the #VALUE! error value.

• If x is negative, CHIDIST returns the #NUM! error value.

• If degrees_freedom is not an integer, it is truncated.

• If degrees_freedom < 1 or degrees_freedom ≥ 10^10, CHIDIST returns the #NUM! error value.

• CHIDIST is calculated as CHIDIST = P(X>x), where X is a γ2 random variable.

## Example

 X Degrees_freedom Formula Description (Result) 18.307 10 =CHIDIST([X],[Degrees_freedom]) One-tailed probability of the chi-squared distribution, for the specified arguments (0.050001)