Examples of using Continuous variables were compared in English and their translations into Portuguese
{-}
-
Colloquial
-
Official
-
Medicine
-
Financial
-
Ecclesiastic
-
Ecclesiastic
-
Computer
-
Official/political
Continuous variables were compared using the Student t-test.
Before and after intervention the continuous variables were compared by the Wilcoxon test.
Continuous variables were compared using the Mann-Whitney test.
Categorical variables were compared using? andFisher exact test, and continuous variables were compared using ANOVA.
Continuous variables were compared by the Student's t or Wilcoxon test.
The variable categories were compared using andFisher's exact tests, and continuous variables were compared using ANOVA.
Continuous variables were compared by the independent sample t-test.
Categorical variables were compared by Fisher's exact test, whereas continuous variables were compared by Kruskal-Wallis test.
Continuous variables were compared using the Wilcoxon-Mann-Whitney test.
Depending on the distribution, continuous variables were compared by the unpaired t-test or Mann-Whitney test.
Continuous variables were compared using paired Student's t-test.
Normal distribution was evaluated by Kolmogorov-Smirnov test and continuous variables were compared using Student's t test or Mann-Whitney U test. Categorical variables were compared using chi-square test or Fischer's exact test.
Continuous variables were compared using the independent-sample T test.
Categorical variables were expressed as number n and percentage%; continuous variables were compared by analysis of variance for repeated data followed by Tukey-Kramer contrast test, when appropriate. Variables with non-Gaussian distribution were compared by Wilcoxon test.
Continuous variables were compared between groups with the Mann-Whitney U test.
The mean values of continuous variables were compared by 2-independent sample t-tests, and differences in the prevalence between groups were compared via chi-square analyses.
Continuous variables were compared by Student's t test for independent samples.
The continuous variables were compared with the Student's t-test paired and non-paired.
The continuous variables were compared using the independent t-student sample test, p=.
Continuous variables were compared using one-way ANOVA or the Kruskal-Wallis test.
Continuous variables were compared by the Mann-Whitney or the T Test for unpaired samples.
Continuous variables were compared by the nonparametric Mann-Whitney test non-Gaussian distribution.
Continuous variables were compared using independent t-test, Mann-Whitney or Kruskal Wallis tests.
Continuous variables were compared with the t-test for paired samples or the Wilcoxon test.
Continuous variables were compared by the independent sample t-test or the Mann-Whitney U test.
Continuous variables were compared using the Student's t-test or Mann-Whitney test, according to their distribution.
Continuous variables were compared by Student's t-test for independent samples or the Mann-Whitney test, as appropriate.
Continuous variables were compared by one-way analysis of variance, with Bonferroni post hoc tests for multiple comparisons.
Continuous variables were compared using the independent sample t-test and categorical variables using the chi-square test.
Continuous variables were compared by the t-student test since these variables have a normal distribution assessed by the Kolmogorov-Smirnof test.