Exemplos de uso de Variables did not present em Inglês e suas traduções para o Português
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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
Joint angle variables did not present changes.
The syntactic awareness does not seem to be related to the cognitive style of the subjects to focus in parts instead of the whole, once these two variables did not present a significant negative correlation.
The remaining variables did not present significance at p< 0.05 level.
For data analysis the normality of the variables was verified through the Shapiro-Wilk test and as the variables did not present a normal distribution the median and the 1 and 3 quartiles were calculated.
The rest of the variables did not present statistically significant differences Table 2.
Nonparametric methods were used because the variables did not present normal distribution.
The other variables did not present statistically significant differences.
For the comparison of independent groups of the adherence stages of vocal therapy and ordinal data, such as age andnumber of sessions, we used the Mann-Whitney test, since a t-test of the sample data showed that the variables did not present normal distribution.
The other variables did not present statistically significant differences.
Non-parametric methods were used as the variables did not present normal distribution Gaussian distribution.
These variables did not present any significant statistical differences between the Groups A and B tab.1.
The other independent variables did not present association with the outcome studied.
These variables did not present significant differences when compared according to SDS, as shown in Table 4.
Non-parametric methods were used, as the variables did not present a Gaussian distribution as shown by the rejection of the Shapiro-Wilks normality test.
As the variables did not present normal distribution, the comparisons were made through the Mann Whitney test.
Non-parametric methods were used because the variables did not present normal distribution data dispersion, ordinal nature and/or lack of distribution symmetry.
The other variables did not present a statistically significant effect at 95% confidence level.
The remaining analyzed variables did not present an association with the vaccination Table 2.
If continuous variables did not present in a normal distribution, non-parametric tests were applied.
However, the spirometric variables did not present a statistically significant association with sex.
The other dietary intake variables did not present a significant relationship to the outcome variable. .
The remaining occupational variables did not present significant statistical differences among groups p> 0.05.
A nonparametric method was used because the variables did not present normal Gaussian distribution, given that the hypothesis of normality was rejected through the Kolmogorov-Smirnov test.
The non-parametric method was used, as some variables did not present a normal distribution Gaussian distribution, due to the dispersion of data and/or lack of symmetry of the distribution.
Non-parametric tests were applied because some variables did not present a normal distribution Gaussian; due to data dispersion, the null hypothesis was rejected according to the Kolmogorov-Smirnov test.
Non-parametric methods were used, because the variables did not present normal Gaussian distribution, given the wide dispersion of the data and rejection of the hypothesis of normality according to the Kolmogorov-Smirnov test.
Non-parametric methods were used, because some variables did not present a normal distribution Gaussian distribution due to the wide dispersion and of the rejection of the hypothesis of normality, according to the Kolmogorov-Smirnov test.
The occurrence of adverse effects was identified in 67 40.1% patients. However, this variable did not present a significant association with the average intervals in which the patients received the medication.
This variable did not present normal distribution in the statistical test, and the observed median was a year. However, it was the only variable that presented a statistical association with the variable male condom use by the clients p 0.029.
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.