Mann-Whitney test

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Mann-Whitney test

[¦man ′wit·nē ‚test]
(statistics)
A procedure used in nonparametric statistics to determine whether the means of two populations are equal.
References in periodicals archive ?
For the Mann-Whitney U test to be applied, the following assumptions were met: (a) a coincidence of the sample; and (b) independence of the observations.
Table 6 shows the mean ranks of each of the four attributes found to be significant through the Mann-Whitney U test.
Mann-Whitney U test was applied to see the significance of differences in opinion, but for all the responses the results were not significant [Table 2].
The Mann-Whitney U test was used to identify whether there was a significant difference in the fluent writing levels of the pupils in terms of their grade level.
The reason why an experimenter uses Kruskal-Wallis and Mann-Whitney U tests instead of ANOVA and t-tests is decided by what kind of data they are examining.
According to the results Mann-Whitney U test to determine a possible correlation between the attendees' parental status and self esteem levels; a meaningful correlation between their parental status and self esteem levels was not encountered.
Secondly, to show the existence of a significant difference between the identity processing styles of male and female participants of the study, the Mann-Whitney U test was run.
19) Other data comparisons were done with the Kruskal-Wallis test; pair-wise comparisons were made with the Mann-Whitney U test when the Kruskal-Wallis test indicated significant differences.
The results of Mann-Whitney U test for comparison of the models with MSE R2 and Radj
The questionnaires were distributed among the sample students and the gathered data was coded and imported into IBM SPSS Statistics and, then, analyzed using statistical tests such as frequency, mean and Mann-Whitney U test.