Wilcoxon test

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Wilcoxon,

Frank, U.S. chemist and statistician, 1892-1962.
Wilcoxon test - nonparametric test.
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Results of Wilcoxon matched-pairs signed-ranks test for dialectal features by cultural match.
As with the initial predictions, for every predictor gender/target gender pairing, in both treatments, means tests and Wilcoxon matched-pairs signed-ranks tests both reject the null hypothesis of no differences in predictions for male and female targets (p-values [less than or equal to] .01).
Table 8 reports the sign of the change (P2 - P1) and p-values for both paired means tests and Wilcoxon matched-pairs signed-ranks tests by treatment, gender of the predictor, and gender of the target.
To verify whether efficiency index results differ, the authors further conduct a Wilcoxon matched-pairs signed-ranks test. In Table 5 the result shows that most bank technical, allocative, and cost efficiency index results, modeled with and without credit, market and credit plus market risk, differ significantly at the 10% significance level.
pulex was 1 (range 0-4) and 0 (range 0-3) for infected and uninfected gammarids, respectively (all replicates including those in pilot experiments and those not used in further analyses, Wilcoxon matched-pairs signed-ranks test, N = 22, z = 3.22, P = 0.0013, two-tailed).
b Wilcoxon matched-pairs signed-ranks test indicates change (- ranks: 41, + ranks: 108, ties: 238), Z = -4.8221, p [less than] 0.0001 (two-tailed tests).
In addition to comparing mean efficiency scores, we use the Wilcoxon matched-pairs signed-ranks test, a sign test for equality of medians and Kendall's T-statistic to further examine the similarity of efficiency scores across the five models.
Group differences were determined by nonparametric procedures (Wilcoxon matched-pairs signed-ranks test, Mann-Whitney U test).
There was no consistent difference in extrapair paternity between these pairs of species (Wilcoxon matched-pairs signed-ranks test: z = 0.89, NS).
Wilcoxon Matched-Pairs Signed-Ranks tests (Siegel, 1956) were used to compare the ordered distributions of variables within nested item sets.
Most comparisons were non-parametric Wilcoxon matched-pairs signed-ranks tests (Siegel and Castellan 1988).
Nonparametric tests (Wilcoxon matched-pairs signed-ranks tests) were also performed with similar results.