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Examples
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For the analysis of some in vitro experiments non-parametric Kruskal-Wallis or one-way ANOVA were used to compare mean values between groups, and Wilcoxon-Mann-Whitney U-test or student t-tests for independent variables were used to compare two groups mean values
PLoS ONE Alerts: New Articles Malathesha Ganachari et al. 2010
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The Z and p-values obtained using the Wilcoxon-Mann-Whitney U-test to compare two independent samples were always significant and did not change in magnitude over all comparisons performed
PLoS ONE Alerts: New Articles Malathesha Ganachari et al. 2010
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Differences between the vehicle control and vitamin treatment group were computed with the Student's t-test or Mann-Whitney U-test.
PLoS ONE Alerts: New Articles Tai-Ho Hung et al. 2010
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All differences were analyzed statistically using the Mann-Whitney U-test.
BioMed Central - Latest articles Jakob Axelsson 2010
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Males and females did not differ in the number of occasions where two bats were close to each other in time and space (Mann-Witney U-test, p = 0.1261).
PLoS ONE Alerts: New Articles Dina K. N. Dechmann et al. 2010
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Two independent groups were compared using the Mann-Whitney U-test.
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Location of two groups of ratio scale variables were compared using independent samples t-test or Mann-Whitney U-test.
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Trichome density was compared among all treatments with a Kruskal-Wallis ANOVA followed by pair-wise comparisons using the Mann-Whitney U-test, adjusted for ties.
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When a more appropriate statistical test [Mann-Whitney U-test] is used, the p-value is 0.002, very different from the reported 0.0008.
Autism Hub 2009
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For three independent groups, the nonparametric Kruskal-Wallis H-test was used with post hoc Mann-Whitney U-test comparisons, including sequential Bonferroni correction of the respective p-values, if applicable.
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