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) ...

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 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 ...

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 ...

A difficulty associated with current hypothesis tests for generalized estimating equations is that, if the working correlation assumption is incorrect, then consistent estimates of the true covariance ...

When qualitative attributes of individuals within a population are the object of study, data often shows up in tabular form. Some null hypothesis is stated concerning the population, which corresponds ...