Exemplos de uso de Nonparametric mann-whitney em Inglês e suas traduções para o Português
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For data analysis,we used nonparametric Mann-Whitney and Kruskal-Wallis tests.
Nonparametric Mann-Whitney U test was used for the comparison of independent groups.
For analysis of CPB andischemia test was used nonparametric Mann-Whitney.
Therefore, the nonparametric Mann-Whitney test was used to compare domain values.
When the null hypothesis was rejected, the nonparametric Mann-Whitney test was used.
Nonparametric Mann-Whitney statistical test was used in this comparison, with a significance level of 5% p.
When the normality assumption was rejected, the nonparametric Mann-Whitney test was used.
The nonparametric Mann-Whitney test was applied in the comparison of the two groups separated by age range.
If the criteria of normality fail, nonparametric Mann-Whitney test was used.
The nonparametric Mann-Whitney test was used to compare the performance between the CG and SG in the GIN and FPT tests.
For quantitative data without normal distribution, the nonparametric Mann-Whitney test was used.
The nonparametric Mann-Whitney test was used due to the asymmetry and variability of the scores of these variables.
When no normality was observed in the groups, the nonparametric Mann-Whitney test was used.
The nonparametric Mann-Whitney test showed that the hypothesis of equality p>0.05 could not be rejected.
When the assumption of data normality was rejected, the nonparametric Mann-Whitney test was used.
The nonparametric Mann-Whitney test was used to compare the two groups in terms of the continuous variables with non-normal distribution.
To compare quantitative measures between the two groups the nonparametric Mann-Whitney test was applied.
A nonparametric Mann-Whitney test was conducted for two independent samples, considering a significance level of 5% Table 1.
Parametric test t student(normal distributions) and the nonparametric mann-whitney test was conducted.
Nonparametric Mann-Whitney test showed no difference between groups in relation to dobutamine at T0 p 0.370, T2 p 1.000, and T3 p 0.180.
In order to compare the distribution of SF-36 QQV domains by sex Table 3, the nonparametric Mann-Whitney test was used.
The results were analyzed by the nonparametric mann-whitney and variance anova model tests. the sensitivity of s.
In the case of normality, Analysis of Variance was used and,in cases where normality was rejected, the nonparametric Mann-Whitney test was applied.
The nonparametric Mann-Whitney test was used to analyze asymmetrical variables and the? chi-square test was used to compare frequencies.
For the analysis of the working memory data we used the nonparametric Mann-Whitney test, in order to compare the performance between the groups Table 3.
To compare both groups regarding quantitative variables, we considered Student t-test for independent samples or nonparametric Mann-Whitney test, when appropriate.
The analysis of results was done by nonparametric Mann-Whitney test, comparing two independent groups, with a significance level of 5.
For comparisons between the shifts with respect to the scores of the instruments we applied the student t test and the nonparametric mann-whitney. applied spearman correlation test and pearson.
For numeric variables, we used the nonparametric Mann-Whitney test for comparison of independent groups, and for categorical variables, the chi-square test.
To compare the two groups regarding quantitative variables, Student t test or nonparametric Mann-Whitney test was used for independent samples.