Which statistical technique is appropriate when we compare two or more populations of nominal data with two or more categories? A. The $z$-test of the difference between two proportions.
B. The chi-squared test of a multinomial experiment.
C. The chi-squared test of a contingency table.
D. The $z$-test of the difference between two proportions and the chi-squared test of a multinomial experiment.
E. The chi-squared test of a multinomial experiment and the chi-squared test of a contingency table.

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The Answer of Which statistical technique is appropriate when we compare two or more populations of nominal data with two or more categories? A. The $z$-test of the difference between two proportions.
B. The chi-squared test of a multinomial experiment.
C. The chi-squared test of a contingency table.
D. The $z$-test of the difference between two proportions and the chi-squared test of a multinomial experiment.
E. The chi-squared test of a multinomial experiment and the chi-squared test of a contingency table.

Which Statistical Technique Is Appropriate When We Compare Two or More