Question

In non-parametric tests, if most of the high ranks fall in one group and most of the low ranks fall in the other, what can be concluded?

1) The groups are significantly different
2) The groups are not significantly different
3) The groups are moderately different
4) The groups cannot be compared

Answer 1

If most of the high ranks fall in one group and most of the low ranks fall in the other, it can be concluded that the groups are significantly different.

Step-by-step explanation:

In non-parametric tests, if most of the high ranks fall in one group and most of the low ranks fall in the other, it can be concluded that the groups are significantly different. This is because a non-parametric test, such as the Mann-Whitney U test or the Kruskal-Wallis test, compares the ranks of the observations rather than the actual values. If there is a clear separation of high and low ranks between the groups, it suggests that the groups have distinct distributions and are not similar in terms of their values.