The primary purpose of the z-test for comparing two proportions is to determine whether there is a statistically significant difference between the proportions of two independent groups. It evaluates whether the observed difference in proportions is due to random chance or reflects a true difference in the populations being compared. The z-test calculates a z-score, which is then compared to a critical value from the standard normal distribution to assess the likelihood of the difference.