In comparing two population means of interval data, we must decide whether the samples are independent (in which case the parameter of interest is ) or matched pairs (in which case the parameter is $\mu$_D) in order to select the correct test statistic.

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This statement is true. The type of test statistic used for comparing two population means of interval data depends on whether the samples are independent or matched pairs. If the samples are independent, we use the two-sample t-test and the parameter of interest is the difference in means (11eaa8e1_547b_8303_93a6_59b8a75dd8a0_TB4382_11). If the samples are matched pairs, we use the paired t-test and the parameter of interest is the mean difference (F1F1F1S1F1F1F10_D).

In Comparing Two Population Means of Interval Data, We Must μ\muμ

In Comparing Two Population Means of Interval Data, We Must $\mu$