Spread the loveIntroduction The chi-square (χ2) test is a widely used statistical method for hypothesis testing and analyzing the relationship between categorical variables. It helps determine if ...

Learn what the chi-square test for independence is, how to state the hypotheses, how to calculate the statistic and the p-value, and how to interpret the results.

Figure 2. The Chi-Square Statistic From a developer's point of view, you really don't need to work directly with the chi-square formula because the chisq.test does all the work for you. Larger values ...

I like using the chi-square as the first test of significance because it is easy to calculate (yes, been there, done that) and can quickly separate significant from insignificant findings.

The frequency tables list the variable values (hair color) in the order in which they appear in the data set. The "Test Percent" column lists the hypothesized percentages for the chi-square test.

See Figure 1 for an example. This approximation was applied to the Prentice test and compared to that of the Chi-square distribution with k degrees of freedom and the Monte Carlo evaluation of the ...

Performing the Chi-Square Test 1. Begin by calculating the difference between observed (O) and expected (E) frequencies for each cell in your contingency table. 2. Next, square these differences to ...