Examples of using Continuous variables were compared 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
Continuous variables were compared using the independent sample t-test and categorical variables using the chi-square test.
Continuous variables were compared by one-way analysis of variance,
Fisher exact test, and continuous variables were compared using ANOVA.
Categorical variables were expressed as number n and percentage%; continuous variables were compared by analysis of variance for repeated data followed by Tukey-Kramer contrast test,
Normal distribution was evaluated by Kolmogorov-Smirnov test and continuous variables were compared using Student's t test
Continuous variables were compared using the Student's t-test
Fisher exact tests, while continuous variables were compared using the ANOVA one-way test
Therefore, considering that continuous variables were compared, it can be concluded that the sooner the patient is subjected to tracheotomy,
The distribution of continuous variables was compared with the normal one.
Non-parametric continuous variables were compared using the Mann-Whitney test.
Parametric continuous variables were compared between groups using Student's t test.
Averages for continuous variables were compared using the Fisher exact test.
The continuous variables were compared and correlated after assessing whether they were normally distributed.
Medians and interquartile ranges for continuous variables were compared with the rank sum test.
Parametric continuous variables were compared between groups by the analysis of variance
Normally distributed continuous variables were compared using unpaired student t-test,
Parametric continuous variables were compared using Student's t test,
Continuous variables were compared using the paired T test,
Continuous variables were compared using t-tests
Normally distributed continuous variables were compared by the unpaired Student t test