True or False: Friedman's Test indicates where the significance lies among the groups.

Friedman's Test is a non-parametric statistical test that is used to detect differences in treatments across multiple test attempts. It is particularly useful when dealing with repeated measures or when the assumptions of ANOVA are not met. While Friedman's Test can determine if there are statistically significant differences among the groups, it does not indicate where those significance lies. This means that the test itself does not provide information on which specific groups are different from each other, only that at least one group differs from the others.

To identify where the significance lies after conducting Friedman's Test, post hoc tests are typically required. These follow-up tests help to assess the specific pairs of groups that differ from one another. Therefore, the statement that Friedman's Test indicates where the significance lies among the groups is inaccurate, making the answer correct.