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

A weakness of the chi-square goodness-of-fit test is its dependence on the choice of histogram midpoints. An advantage of the EDF tests is that they give the same results regardless of the midpoints, ...

The degrees of freedom for the chi-square test is equal to m-p-1. You can save the observed and expected interval percentages in the OUTFIT= data set discussed in "Output Data Sets". Note that empty ...

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 ...