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, ...

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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) ...