When testing for differences between the means of two related populations, you can use either a one-tail or two-tail test.

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This statement is true. When testing for differences between the means of two related populations, you can choose either a one-tailed or two-tailed test, depending on the nature of your research question or hypothesis. A one-tailed test is used when you have a directional hypothesis, meaning that you predict the direction of the difference between the means. A two-tailed test is used when you have a non-directional hypothesis, meaning that you simply want to know if there is a difference between the means, without making any directional predictions.

When Testing for Differences Between the Means of Two Related