The statistical test would be a Z-test for the difference between the proportions.
The Z test is a parametric procedure that is used on data that is dispersed in a normal fashion. For testing hypotheses, the z test can be used on one sample, two samples, or proportions. When the population variance is known, it analyzes if the means of two big groups are dissimilar.
We have:
In a recent poll among 500 students, it was found that 60% of women and 68% of men eat meals on campus at least 3 times a week.
From the above data and the definition of the Z-test, the statistical test would be a Z-test for the difference between the proportions.
Thus, the statistical test would be a Z-test for the difference between the proportions.
Learn more about the Z-test here:
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