Examples of using Numerical variables in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
In order to compare numerical variables, we used the Student's t-test or the Mann-Whitney test,
The Student's t-test was used to compare numerical variables, and a chi-square test was used for categorical parameters.
To compare numerical variables, non-parametric tests were used due to the absence of a normal distribution, indicated by the Shapiro-Wilk test.
Numerical variables were expressed as means
The numerical variables data was expressed as mean± standard deviation
Numerical variables were compared through Student's t-test
Numerical variables were presented as central tendency
Numerical variables were expressed as median
For categorical variables it was done a descriptive analysis of frequency. For numerical variables it was done an analysis of measures of central tendency mean and variability standard deviation.
the Wilcoxon test were used for comparing the mean levels of the numerical variables.
the Spearman correlation coefficient, to assess the correlation between collagen fraction and numerical variables.
summary statistics of the numerical variables are presented in Table 1.
The observed data were described in tables as mean± standard deviation numerical variables and frequency and percent values categorical variables. .
minimum and maximum numerical variables and relative and absolute frequencies%,
The inferential analysis consisted of the nonparametric Mann-Whitney test for comparing the numerical variables between the subgroups of stable and unstable fractures
The paired Student's t test or the non-parametric Wilcoxon test was used to assess the variation between pre and post-intervention numerical variables, when the variable did not present a normal distribution.
Regarding numerical variables, SaO2 and the Shwachman-Kulczycki scores were significantly higher in G1 and in G2 than in G0 p 0.034 and p 0.046, respectively; Table 3.
the non-parametric Kruskal-Wallis test was used to compare the numerical variables among the three groups and Pearson's chi-square test to compare the categorical variables. .
Comparisons regarding numerical variables were performed with Mann-Whitney U test
T test and ANOVA were used for numerical variables and Qui-square for categorical variables with 5%