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 ?
The mean (over the volunteers) differences of the measured data to the above defined baseline have been investigated--in the same way as the mRNA case--employing the one-way ANOVA with repeated measures (within subjects), taking the time as a 5-level factor: t = 0, 7, 14, 21, 28 (taking t = 0 as the control level), and with the non-parametric Friedman rank sum test.
However, double brooding appeared to be successful for pewees, and both attempts at a second nest were successful after fledging a first nest; double-brooded pairs fledged 4-5 young, twice as many as single-brooded pairs (Wilcoxon rank sum test P = 0.
harrisii individuals whose CWs were not significantly different, ranging from 10-13 mm (Wilcoxon's rank sum test, P < 0.
This query was recognized as most similar to itself with high statistical significance: the Wilcoxon rank sum test, which we used as described in Section 4.
Therefore the next step is to use the Wilcoxon Rank Sum Test of differences of medians.
05 [8]) and then for equal variances before testing either parametrically, by an unpaired t-test, or nonparametrically, by the Mann-Whitney rank sum test.
A new chapter on nonparametric statistics that includes a discussion and application of the Sign test, the Wilcoxon Signed Rank test, and the Wilcoxon Rank Sum test and its relationship to the Mann-Whitney U test
The median and inter-quartile range was calculated for patients receiving (or not) each concomitant medication, and these were compared using the Wilcoxon rank sum test.
Annual trends in hospital costs were analyzed by Sen's slope analysis, and associations between length of stay and hospital costs with respect to gender, age, discharge status, complication type, and co-morbidity were analyzed using the Wilcoxon rank sum test.
Some of the CI data sets failed normality assumptions required for parametric testing of differences, and therefore the Kruskal-Wallis analysis of variance (ANOVA) on ranks test (Mann-Whitney rank sum test if only 2 samples) was conducted on pooled CI data.
9) We break down the data by gender and note here that there is no significant difference across gender of the offers made in any of the four treatments using a two-sided Wilcoxon rank sum test (all p-values > 0.