Examples of using Continuous variables 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.
Probability distributions for continuous variables.
The continuous variables had a normal distribution.
Central trend measures were calculated for the continuous variables.
Continuous variables with normal distribution were.
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The Bland-Altman plot was used to analyze continuous variables.
Continuous variables were presented as medians with.
Mann-Whitney's U test was used for comparison of continuous variables.
Continuous variables were analyzed by Student's t test.
Abnormal distribution of continuous variables were described as medians.
Continuous variables were analyzed with the Student t test.
Pearson's correlation coefficients were calculated for continuous variables.
All continuous variables are expressed as means± standard deviation.
Mann-Whitney and ANOVA tests were used to compare continuous variables.
For continuous variables, means and standard deviations were calculated.
Pearson's Correlation Coefficients were used to assess continuous variables.
The continuous variables were: age, P300 latency, P300 amplitude.
Pearson's linear correlation coefficients were calculated for continuous variables.
Continuous variables were compared by the independent sample t-test.
Pearson correlations were calculated between aortic diameters and continuous variables.
Continuous variables were compared using paired Student's t-test.
Table 4 shows the association between continuous variables with CI variation in different groups.
All continuous variables were normally distributed Shapiro-Wilk test.
Categorical variables are presented as percentages and continuous variables as means and standard deviations.
Some continuous variables were grouped in classes for statistical analysis.
Data are shown as mean± standard deviation for continuous variables and as percentages for categorical variables. .
Continuous variables were compared using the independent-sample T test.
Correlation between continuous variables was performed using Pearson's correlation.
Continuous variables are expressed as mean± standard error of the mean.
Normally distributed continuous variables were analyzed by unpaired t-test.