A chi-square (χ2) statistic is a test that is used to measure how expectations compare to actual observed data or model ...

Formulas closely related to $$u(t) = \lbrack n \log (1 + t^2/n)\rbrack^{\frac{1}{2}}\\ w(\chi^2) = \lbrack\chi^2 - n - n \log (\chi^2/n)\rbrack^{\frac{1}{2}}$$ are ...

The chi-square test is a statistical hypothesis test that is used to compare observed and expected counts in a contingency table. Its uses include: tests for independence, tests for homogeneity, and ...

Description: Distribution of mean and s2 in normal samples, sampling distributions derived from the normal distribution, chi square, t and F. Distribution of statistics based on ordered samples.

The aim of this paper is to relate and extend some recent work on chi-square goodness-of-fit tests. There is no discussion of any problems which are specifically associated with more than one ...