Exemplos de uso de Nonparametric mann-whitney test was used em Inglês e suas traduções para o Português
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Therefore, the nonparametric Mann-Whitney test was used to compare domain values.
When the normality assumption was rejected, the nonparametric Mann-Whitney test was used.
The nonparametric Mann-Whitney test was used for comparison between researcher categories.
In order to compare the distribution of SF-36 QQV domains by sex Table 3, the nonparametric Mann-Whitney test was used.
The nonparametric Mann-Whitney test was used to compare differences in age according to HPV status.
To assess in which items the differences between the groups was significant, the nonparametric Mann-Whitney test was used for each case analyzed.
The nonparametric Mann-Whitney test was used, and values of p< 0.05 were considered significant.
In cases in which the hypothesis of normality of the variable was rejected according to the Kolmogorov-Smirnov test, the nonparametric Mann-Whitney test was used.
In statistical analysis, the nonparametric Mann-Whitney test was used to compare the groups G1 and G2.
When distribution was normal,comparison between the two groups was made by Student's t-test, otherwise, 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.
For data that were not normally distributed, the nonparametric Mann-Whitney test was used. p values less than 0.05 were considered as significant.
The nonparametric Mann-Whitney test was used to compare the performance between the CG and SG in the GIN and FPT tests. .
Since the results had no normal distribution andshowed independent variables, the nonparametric Mann-Whitney test was used, with the level of significance set at 5.
The nonparametric Mann-Whitney test was used for the data which did not comply with normality for two independent samples.
Student's t-test was used for variables that had normal distribution, while the nonparametric Mann-Whitney test was used for those that did not, when comparing the groups.
The nonparametric Mann-Whitney test was used to compare the two groups in terms of the continuous variables with non-normal distribution.
To verify differences between the groups LBW andVLBW in relation to the AIMS percentiles and scores, the nonparametric Mann-Whitney test was used, with a significance level of 5% p.
The nonparametric Mann-Whitney test was used to analyze asymmetrical variables and the? chi-square test was used to compare frequencies.
With the aim of investigating whether the isokinetic evaluation parameters differed between the two types of soccer player, the nonparametric Mann-Whitney test was used, which compared the medians of pairs of independent samples.
The nonparametric Mann-Whitney test was used to compare the two means and the ANOVA of Kruskal-Wallis in the comparison of means of three or more groups.
The Shapiro-Wilk test was used to assess the distribution of HRV data, and,because of their non-normal distribution, the nonparametric Mann-Whitney test was used to compare the indices before and after the expiratory maneuver.
The nonparametric Mann-Whitney test was used to compare data between the groups. The Kruskal Wallis test was used to compare data among the groups.
As some of the variables studied were normally distributed but others were not, the nonparametric Mann-Whitney test was used in the intergroup inferential analyses and the Wilcoxon test was used for paired samples in the intragroup analyses.
The nonparametric Mann-Whitney test was used to verify the difference between self-assessment of prior knowledge about hearing aids among those receiving materials at the time of counseling and those who did not.
An analysis of the relationship between the categorical variables andthe minimal handling protocols was performed using Fisher's exact test. The nonparametric Mann-Whitney test was used to examine continuous, quantitative variables.
In the variables without normal distribution, the nonparametric Mann-Whitney test was used to assess the group effect and the Kruskal-Wallis test was applied for time.
In the comparative analysis of the experimental and control groups, the nonparametric Mann-Whitney test was used when data distribution was asymmetrical; and the Student's t-test was used for independent samples, according to age, level of overall stability, weight distribution index, right/left and toes/heel synchronization index, postural sway frequency bands and fall risk in the eight sensory conditions.
For variables that showed significant variation, the nonparametric Mann-Whitney test was used in the comparisons between two groups and the Kruskal-Wallis test was used in the comparisons among three groups.
To compare the mean values of variables between the groups with andwithout a ring, Student t tests and the nonparametric Mann-Whitney tests were used.