The chi-squared test of a contingency table is used to determine if there is enough evidence to infer that two nominal variables are related, and to infer that differences exist among two or more populations of nominal variables.

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The chi-squared test is commonly used to test the independence of two nominal variables and to compare observed and expected frequencies in a contingency table. It can also be used to test for homogeneity or goodness-of-fit in nominal data among multiple populations. Therefore, the statement is true.

The Chi-Squared Test of a Contingency Table Is Used to Determine