Chi2 Test Interpretation. We will use the following syntax to perform the test. The χ2 test of independence.
A chi square χ2 statistic is a test that measures how a model compares to actual observed data. The data used in calculating a chi square statistic must be random raw mutually exclusive drawn. To briefly recap what have been said in that article the chi square test of independence tests whether there is a.
This article explains how to perform the chi square test of independence in r and how to interpret its results.
Its properties were first investigated by karl pearson in 1900. Perform the chi square test of independence. In der ausgabe finden sich drei tabellen. You should now be able to calculate the chi square statistic in spss and interpret the result that appears the spss output viewer.
