Exemplos de uso de Mann-whitney test to compare em Inglês e suas traduções para o Português
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We used the Mann-Whitney test to compare two independent groups.
The Wilcoxon Signed Posts Test was used for the intragroup analysis and the Mann-Whitney test to compare the results between the groups.
We used the Mann-Whitney test to compare the median values of the total scores among the groups.
A descriptive analysis of the data was performed using the non-parametric Mann-Whitney test to compare age, weight, and EEG-BIS value of the CP and non-CP groups.
Was used the Mann-Whitney test to compare the two groups in the residual lumen at level 1 area with greater stenosis.
In addition to the descriptive analysis, an inference statistic was done, through the Student t-test and the Mann-Whitney test to compare the two samples independently.
We used the mann-whitney test to compare continuous variables and the spearman correlation to correlate the outcomes in interest.
Data were submitted to descriptive and inferential analysis: mann-whitney test to compare continuous variables between groups with and without met; spearm.
The kruskal-wallis andpost hoc of dunn tests was used to compare the surface treatments within the same commercial brand and mann-whitney test to compare the two brands each other.
For the statistical analyses, we used a Mann-Whitney test to compare the general characteristics and the amplitude of the mouth opening between the groups.
The Student t test was used to compare the distributions of normal, continuous variables,while the Wilcoxon/Mann-Whitney test, to compare continuous variables without normal distribution.
The statistical methods utilized were the Mann-Whitney test to compare parameters between the pre- and postoperative periods, both for the Minnesota Code and the echocardiographic measurements.
For quantitative variables,we used the Student t-test to compare the means of normally distributed variables or the Mann-Whitney test to compare the interquartile distributions.
Statistical treatment was included in?test to compare qualitative variables, of Mann-Whitney test to compare two numeric variables and Kruskal-Wallis test to compare three or more groups of numerical information of independent samples.
The descriptive statistical analysis was used to describe the variables by mean, standard deviation, frequency and percentage,as well as the inferential statistics from the Mann-Whitney test to compare the groups PCQ and PSQ.
We used the chi-square test(with Fisher's correction,when necessary) and the Mann-Whitney test to compare the differences between categorical variables and between continuous variables, respectively.
We used the following tests to compare the two groups: the chi-square test to compare categorical variables,the Student's t-test to compare parametric continuous variables and the Mann-Whitney test to compare non-parametric continuous variables.
Univariate analysis was conducted using the Mann-Whitney test to compare median serum retinol results on the basis of categorical variables. Pearson's correlation was used to investigate associations between serum retinol and numerical variables.
Statistical analysis was performed using the Fisher's test to assess the need or not for dipyrone use andpatient acceptance of diet and the Mann-Whitney test to compare median pain scores, with a significance level of 5% p.
Pearson chi-square test or Fisher exact test was used to compare qualitative variables, and the non-parametric Mann-Whitney test to compare quantitative variables between the original model and validation populations.
For statistical analysis, the methods used were the nonparametric Spearman correlation coefficient,for analyzing the influence of phonological aspects in relation to perceptual and productive vocabularies in both groups, and the Mann-Whitney test to compare the scores between the two groups.
For further analysis of the study were used the chi-square orFisher's exact test for expected values lower than 5, the Mann-Whitney test to compare the numerical variables between two groups, and the Kruskal-Wallis test to compare the numerical variables between three or more groups.
When necessary, we used Student'st test for paired data to test the differences in measurements between the operated and contralateral sides and the nonparametric Mann-Whitney test to compare the mean results between the groups with good and poor results.
For data analysis, the nonparametric Kruskal-Wallis H test was used for comparing the three groups control,GDS 4 and GDS5; the Mann-Whitney test to compare only the AD group and the control group; the Spearman correlation coefficient test to investigate the possible correlations between the measures of neuropsychological tests performance and the speech variables. The statistical analyses were mainly conducted through SPSS, although the BIOSTAT was also used specifically for the multiple comparisons between each group on the Kruskal-Wallis and Friedman test. .
Specific tests were used to compare and correlate the variables Chi-Square orFisher's exact test to compare categorical variables between groups; Mann-Whitney test to compare numerical variables between two groups and Kruskal-Wallis test for three or more groups.
The analyses were performed using SPSS for Windows v.17.0 SPSS Inc., Chicago, United States software;the chi-squared test was used to compare proportions, the Mann-Whitney test to compare the numerical means, and logistic regression to compare age at menarche per school public and private and nutritional diagnosis with and without excess weight.
The following statistical tests were used: 1 Kruskal-Wallis test, to compare the concentration of fibrillar components in the transversalis fascia and the rectus abdominis sheath between groups and to evaluate the ratio of collagen I andIII in different groups; 2 Mann-Whitney test, to compare the concentration of fibrillar components in the transversalis fascia and the rectus abdominis sheath between two groups, with and without hernia.
Data analysis was performed using descriptive statistics central tendency and dispersion; absolute numbers and percentiles; Chi-Square or Fisher's Exact tests were used to assess the association between quality of sleep good or bad andthe categorical variables; Mann-Whitney test to compare the patients with good or poor quality of sleep considering the numerical variables; Cronbach alpha coefficient to measure the internal consistency of the PSQI-BR.
The data were submitted to student t, chi-square and mann-whitney tests to compare groups.