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) ...

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 ...

In likelihood analysis of categorized data, it is well known that within a restricted class of log-linear models the likelihood kernels for multinomial and product multinomial sampling distributions ...

The test of independence of row and column variables in a (J × K) contingency table is a widely used statistical test in many areas of application. For complex survey samples, use of the standard ...

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 ...