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 ...

The minimum chi-square statistics to test for homogeneity in r X c contingency tables and for symmetry in r X r tables are presented. Journal Information Biometrics is a scientific journal emphasizing ...

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 ...

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 ...

Recall that a chi-squared test of independence can be used for two categorical variables and write down the null hypothesis for this test Explain the basic idea of a chi-squared test, namely that the ...