The chi-square distribution calculator returns tail probabilities and critical values for χ² on a given number of degrees of freedom.
Chi-square is the distribution of a sum of squared standard normals, which is why it appears in goodness-of-fit tests, tests of independence in a contingency table, and inference about a variance.
Chi-square is skewed and its shape changes with df, so the upper and lower tails are not mirror images — the calculator reports each separately rather than assuming symmetry.
Distribution parameters, plus a value x, a tail probability p, or both.
For x: the density or exact probability and each tail. For p: the lower, upper and two-tailed critical values.