1-[alpha],df] the [alpha]th percentile of the chi-square distribution
with df, degrees of freedom, n is the sample size, df = n - m (number of independent random samples) is degrees of freedom defined as the number of values that are free to vary, and Z(1-P)/2 is the pth percentile of the standard normal distribution.
In both cases, results are presented as the likelihood ratio statistics of the Chi-square distribution
Chi-square  another criterion used for binary split in data mining and machine learning, is a statistical test in which the sampling distribution of the test statistic is a chi-square distribution
when the null hypothesis is true.
2] has an asymptotic chi-square distribution
with (C-1) (S-1) degrees of freedom.
The square of a normal N(0, 1) variable has the chi-square distribution
Also, the empirical distribution function of D, found under the null composite hypothesis, follows the theoretical chi-square distribution
function, if not as near.
However, the test statistic with chi-square distribution
of 1 df was used to standardize p values such that the maximum p value should be 1.