Statistical testing was done using the Wilcoxon Rank Sum Test, median test and the Kruskal-Wallis One-Way AOV [ 52].
The median test score for students entering the freshman class this fall was in the 96th percentile nationally.
In parallel, the median test complemented the preceding hypotheses.
If variances were not equal, a Mood's median test was performed.
Yet, no significant difference was detected among the five different endpoints (Mood's median test, p = 0.383).
Continuous variables were compared using the median test for non-normally distributed variables.
A median test was used to evaluate this difference, which was found to be statistically significant (P = 0057).
Median test values confirm those yielded by the U test, thus allowing us to state that panelists' scores present stability.
The difference between the MDR values calculated based on the two data sets was significant (Mood's median test, p = 0.0004).
The number of a.s. in a product did not significantly influence the MDR (Mood's median test, p = 0.508).
Additionally, to compare the three segmentation methods used in the warm water phantom configurations, a Mood's median test was applied.
