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

What is the chi-squared test? 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 ...

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. A chi-square (also called chi-squared) ...

R is the perfect language for creating a variety of chi-square tests, which are used to perform statistical analyses of counts of data. Here's how, with some sample code. A chi-square test (also ...

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 statistical test that allows one to determine whether observed quantities of a specific characteristic differed from the expected value purely by chance.

The Canadian Journal of Statistics / La Revue Canadienne de Statistique A modified chi-square test statistic is constructed for testing the hypothesis of independence in a two-way contingency table ...

This is a preview. Log in through your library . Abstract The null hypothesis that the proportions or relative abundance among j mutually exclusive categories (e.g., species or sizes) is the same for ...