Wilcoxon two-sample test

Wilcoxon two-sample test

[′wil‚käk·sən ¦tü ¦sam·pəl ‚test]
(statistics)
The test based upon the rank sum of treated (or untreated) subjects.
References in periodicals archive ?
A Wilcoxon two-sample test cannot reject the null hypothesis that gamble choices do not differ by treatment (p-value = .
30) In the V/S treatment, men are significantly more accurate than women when predicting for male targets (both means test and Wilcoxon two-sample test p-values [less than or equal to] .
Men predicting for other men do significantly better using visual clues than they do using individuating information (both means test and Wilcoxon two-sample test p-values [less than or equal to] .
We used a Wilcoxon two-sample test to compare the mean number of woodpecker attacks on white ash and green ash.
To assess differences in bottled water samples obtained from imported and in-house brands, the log concentration of endotoxin and bacteriological cell count at baseline was compared using the Wilcoxon two-sample test.
I calculated the CVs for each clone, then averaged these clonal CVs for each clonal group (breeding mode) for each experiment, and finally used a Wilcoxon two-sample test (Sokal and Rohlf 1981) to determine whether significant differences in sensitivity (based on CVs) exist between asexuals and sexuals.
50]s were calculated for each clonal group across acclimation temperature treatments for each of the three experiments, and a Wilcoxon two-sample test was performed as described previously.
Results of the Wilcoxon two-sample test revealed no significant differences between asexuals and sexuals in sensitivity (i.
The first approach was based on the conventional Wilcoxon two-sample test (also known as the Mann-Whitney U test) as proposed by Simberloff and Martin (1991).
Significance levels for deviations of observed Wilcoxon two-sample test scores from the random null model, calculated for sites ranked with respect to their species number, distance from the mainland, and area.
Significance levels for deviations of observed Wilcoxon two-sample test scores from the ordered null model, calculated for islands ranked with respect to their species number, distance from the mainland, and area.
The t and the Wilcoxon two-sample tests are actually testing different things: E(X) = E(Y) for the t, but P(X [is greater than] Y) = 0.