Examples of using Variables studied 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
Frequency distribution of the variables studied was performed by analyzing the differences between the categories through the Chi-square test, with a significance level of p< 0.05.
standard deviation of the variables studied.
The variables studied were sex,
three components explain the greater association between the variables studied.
Table 2 presents the Pearson correlation coefficients among the variables studied for the diabetes group.
Both groups showed a significant improvement in the variables studied when these data were compared with those at the beginning of treatment.
Of the variables studied, only the need for mechanical ventilation correlated significantly with mortality, regardless of the study group Table 3.
identify the behavior of the variables studied.
a descriptive analysis was carried out first to measure the frequency of the variables studied.
Among the variables studied and detailed below, we used the average of three measurements.
Variables studied were: air
There was no statistically significant association between the variables studied and the reduction of congenital infection.
exertion fatigue, and the variables studied are summarized in Table 4.
The variables studied were: hufs participation as coordinators
However, there was no correlation among other variables studied, including presence of risk indicators,
In relation to the derived attribute there was no statistical significance for the variables studied.
It should be noted that the cross-sectional design does not allow analysis of the cause-effect relationship between the variables studied.
The Pearson test was used to assess the linear correlation between the variables studied.
For the multiple linear regression analysis among all variables studied social and clinical,
Table 1 shows the descriptive statistics of both groups for all variables studied.