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 optimal cutoff was chosen as 24 months, based on the most significant Wilcoxon rank sum test p value for all possible cutoff points.
Based on the results of Wilcoxon's rank sum test, LebTLBO is significantly better than all other TLBO algorithms on most of functions.
The mean ([+ or -]SD) age was 78.3 [+ or -] 6.8 years in the [alpha]1-ARA group and 77.8 [+ or -] 7.6 years in the control group (p = 0.92; Wilcoxon rank sum test).
(b) Median dBMA Treg value in responder and nonresponder patients (28 versus 13/[micro]L, Mann- Whitney rank sum test, p = 0.024).
Among Group A, the serum levels of TSH, FT3, and FT4 were significantly higher in Group A-1 than Group A-2 (rank sum test, data shown as P50, P25, and P75, [Table 1]).
Means topped by the same lowercase letters are not significantly different (P > 0.05; Kruskal-Wallis rank sum test and Dunn's test).
The median E% of plasma DNA for these patients was 37.8% (interquartile interval: 31.8-43.0%), which was significantly higher than that of the healthy controls (P = 0.002, Mann-Whitney rank sum test; Fig.
El resultado de la prueba Mann-Whitney Rank Sum Test muestra que la diferencia de las medianas entre los dos grupos (colaboracion internacional vs colaboracion domestica) es mayor al esperado y existe significacion estadistica (Mann-Whitney U= 52123; p=0,001).
Al aplicarle la prueba no parametrica de Mann Whitney Rank Sum Test, el resultado arroja diferencias claramente significativas entre ambos grupos con un indice de confianza de un 99 % dando un valor P < 0,001.
The Wilcoxon rank sum test was used to test for differences in case notification rates between districts before and after Xpert MTB/RIF testing initiation, and differences were considered statistically significant if p<0.05.
In this case, the Wilcoxon rank sum test is used directly [17].
Further, in order to determine whether the results achieved by the algorithms are statistically different from each other, a nonparametric statistical significance proof known as Wilcoxon's rank sum test for equal medians [62, 63] was conducted between the results obtained by the algorithms, SOS versus CS, SOS versus PSO, SOS versus GA, SOS versus MVO, SOS versus GSA, and SOS versus BBO.