The chi-squared test, often written as χ2 test, is a statistical hypothesis test used in the analysis of categorical variables to determine whether observed data are different from expectations. In ...

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

One is the widely taught Pearson chi-square test, which uses the well-known χ2 statistic. The chi-square test is appropriate for large sample inference, and it is equivalent to the Z-test that uses ...

The appropriate chi-square tests for both methods of bias removal are compared analytically, subject to restrictions on sample size, and more generally using Monte Carlo techniques. For the situations ...