a-kruskalwallis-test-is-used-to-compare-the-wait-time-distributions-at-three-dif

Question

A Kruskal–Wallis test is used to compare the wait time distributions at three different service centers. The calculated test statistic is: $H almost equals 8.37$

At the $alpha equals 0.05$ significance level, the critical value from the chi-square distribution with $d f equals 2$ is: $chi sub 0.05 comma 2 squared equals 5.991$

Based on this information, should the null hypothesis be rejected?

Accepted Answer

Yes, because the test statistic exceeds the critical value.

Answer

Np, because the test statistic falls in the acceptance region

Answer

No, because there is no significant difference in distributions

Answer

Yes, because the distributions are known to be unequal