Exemplos de uso de Described as mean and standard deviation em Inglês e suas traduções para o Português
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Quantitative data were described as mean and standard deviation.
Table 1 shows the anthropometric, sociodemographic and clinical data of the sample, described as mean and standard deviation.
Age was described as mean and standard deviation while sex, by absolute and relative frequency.
Quantitative data were initially described as mean and standard deviation.
Continuous variables were described as mean and standard deviation for those with normal distribution, or median and interquartile range for those with asymmetric distribution.
The sample characterization data were described as mean and standard deviation.
Continuous variables are described as mean and standard deviation symmetrical distribution or median and interquartile range asymmetrical distribution.
All variables were normally distributed and were described as mean and standard deviations.
Continuous variables were described as mean and standard deviation, and as interquartile range when appropriate.
The Kolmogorov-Smirnov test was used to assess the assumption of normality of the retinol serum variable, described as mean and standard deviation.
Numerical variables were described as mean and standard deviation.
Numerical variables are described as mean and standard deviation with Student's t testand analysis of variance(ANOVA) to verify differences between groups.
The Shapiro-Wilk test was used to check the normality of the explanatory variables, and those variables with normal distribution were described as mean and standard deviation, and the other variables were expressed as median and interquartile range p25-p75.
Quantitative data were described as mean and standard deviation and qualitative data by frequency and percentage.
Continuous variables with normal distribution were described as mean and standard deviation and the others, as mode or median.
Numerical data were described as mean and standard deviation or median and 25-75% interquartile interval,and compared using the Student t test if the data distribution was normal, or with the Mann-Whitney test for non-parametrical data.
Quantitative variables were described as mean and standard deviation or median and percentiles.
The results obtained were described as mean and standard deviation of the numerical variablesand frequency for the categorical ones.
Data with normal distribution were described as mean and standard deviation, otherwise as mediansand their quartiles.
Numerical variables were described as mean and standard deviation or median and interquartile range, when non-parametric variables.
Continuous variables were described as mean and standard deviation and categorical variables were summarized by means of simple and relative frequencies, and the Chi-square or Fisher's exact test was used as appropriate.
The preoperative anxiety outcome was described as mean and standard deviation, with cutoff set as greater than 30 points for the overall score of the mYPAS.
Continuous variables were described as mean and standard deviation or median and interquartile ranges,and categorical variables were expressed as absolute numbers and relative frequencies.
Demographic and clinical data were described as mean and standard deviation, or as number and percentage of presence of the studied variable.
Continuous variables were described as mean and standard deviation SD, and the differences between groups were analyzed using the Student's t test or Mann-Whitney test, as appropriate.
Quantitative variables are described as mean and standard deviation and qualitative variables as absolute and relative frequencies.
The continuous variables were described as mean and standard deviation or median, and as interquartile range for those without normal distribution.
Quantitative variables were described as mean and standard deviation and compared between groups using the Student t test for independent samples.
Quantitative variables were described as mean and standard deviation, and qualitative variables were described as proportions.