Exemplos de uso de Numerical variables em Inglês e suas traduções para o Português
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Colloquial
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Medicine
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Ecclesiastic
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Computer
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Official/political
For numerical variables with normal distribution.
Unpaired t-tests were used to analyze numerical variables.
Numerical variables were displayed as means± EPM.
Correlation The correlation expresses dependence between numerical variables.
Numerical variables are presented as mean± standard deviation.
ANOVA was performed to compare numerical variables repeated over time.
Numerical variables were described as mean and standard deviation.
The values represent mean?standard deviation for numerical variables.
Numerical variables are expressed as mean and standard deviation.
We applied central tendency and dispersion in the analysis of numerical variables.
The numerical variables were summarized as means and standard deviation.
Frequency and percentages were used for categorical variables and for ordinal numerical variables.
Numerical variables were expressed as mean and standard-deviation SD.
In order to verify the data normality of numerical variables of the study, the Shapiro-Wilk test was used.
The numerical variables were described as average and standard deviation.
In the descriptive analysis, means and standard deviations were used for the numerical variables, whereas frequencies and percentages were used for the categorical variables. .
Numerical variables are expressed as means, medians, and percentiles.
The Student's t-test was used to compare numerical variables, and a chi-square test was used for categorical parameters.
Numerical variables were analyzed using the Kolmogorov-Smirnov normality test.
Spearman's correlation test was used for associations between numerical variables and the chi-square test for associations between categorical variables. .
The numerical variables are presented as median and quartiles 25-75.
Correlations between numerical variables were performed by Spearman's test.
For numerical variables, we used the t-test for independent samples.
For the numerical variables, the nonparametric Mann-Whitney test was used.
Numerical variables were represented by central tendency and dispersion measures.
Numerical variables were described as maximum, minimum, average and standard deviation, or median.
All numerical variables were tested for normality of distribution with the use of graphical methods and the Shapiro-Wilk test.
Numerical variables were shown not to be normal, by the Kolmogorov-Smirnov test, characterizing the samples as parametric.
Numerical variables different from the normal distribution were presented as median and interquartile range and compared by nonparametric tests.
To compare numerical variables, non-parametric tests were used due to the absence of a normal distribution, indicated by the Shapiro-Wilk test.