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

In this method, the observed numbers of cases falling into each of the intervals have been found above. Now, assuming that the null hypothesis is true, the expected numbers in each of the intervals ...

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 ...

A random Rayleigh vector is a vector of norms of random Gaussian vectors, and a Chi-square vector is the vector of squares of these norms. Excepting special cases, neither the Rayleigh nor Chi-square ...