Returns the one-tailed probability of the chi-squared distribution. The c2 distribution is associated with a c2 test. Use the c2 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.
X is the value at which you want to evaluate the distribution.
Degrees_freedom is the number of degrees of freedom.
- 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 ³ 10^10, CHIDIST returns the #NUM! error value.
- CHIDIST * mergeformat is calculated as cHIDIST = P(X>x), where X is a c2 random variable.
CHIDIST(18.307,10) equals 0.050001