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. For example, suppose you have three ...

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

The chi-squared test, often written as χ 2 test, is a statistical hypothesis test used in the analysis of categorical variables to determine whether observed data are different from expectations.

For a 2 ×2 table, the Pearson chi-square is also appropriate for testing the equality of two binomial proportions or, for R ×2 and 2 ×C tables, the homogeneity of proportions. Refer to Fienberg (1980) ...

Pearson's chi-square test works well with genetic data as long as there are enough expected values in each group. In the case of small samples (less than 10 in any category) that have 1 degree of ...

The chi-squared test for association is applied to a cross-tabulation of frequencies in the two variables you would like to compare. This is called a contingency table, where each combination of a row ...

Simulated results show the resulting sampling distribution of the chi-square test statistics. Developed by Michael Whitlock at The University of British Columbia. License: CC0. Understanding the ...