A chi-square (also called chi-squared) test is a classical statistics technique that can be used to determine if observed-count data matches expected-count data.

Pearson's chi-square test is used to examine the role of chance in producing deviations between observed and expected values.

The chi-square test is appropriate for large sample inference, and it is equivalent to the Z-test that uses the difference between the two sample proportions for the 2 × 2 case.

As a student at the University of Minesota, I was required to take Biometrics and Genetics. Each of these classes included the application of a nonparametric test statistic known as ...

Sliced inverse regression (SIR) and an associated chi-squared test for dimension have been introduced as a method for reducing the dimension of regression problems whose predictor variables are normal ...