Exemplos de uso de Variables with normal distribution em Inglês e suas traduções para o Português
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considering variables with normal distribution, and the Mann Whitney test,
Subsequently, we employed the one-way ANOVA with post-hoc Tukey for variables with normal distribution and the Kruskal-Wallis test with post-hoc Dunn for variables without normal distribution. .
Variables with normal distribution were expressed as means
Variables with normal distribution were expressed as mean± standard deviation;
Pearson's correlation coefficient was applied in order to assess the correlations among variables with normal distribution, and Spearman's rank correlation test was applied for variables with non-normal distribution. .
t-test were used for variables with normal distribution and the Kruskal-Wallis test was applied for nonparametric variables vocal intensity and age.
by using the general linear model analysis of variance for variables with normal distribution as confirmed by the Kolmogorov-Smirnov test.
analyzed using a Student's t-test variables with normal distribution and Mann-Whitney test variables without criteria of normality.
the test assumed the normality hypothesis for the variable with normal distribution.
being the latter the only variable with normal distribution calculated the mean.
Variables with normal distribution were analyzed with the Student's t-test.
Continuous variables with normal distribution were compared by t-tests or ANOVA.
Continuous variables with normal distribution were described as mean± standard deviation.
Means and standard deviations were calculated for quantitative variables with normal distribution.
Quantitative variables with normal distribution are presented descriptively with means
The t test was used for paired samples of variables with normal distribution.
The analysis of quantitative variables with normal distribution was conducted through ANOVA-One Way test.
standard deviations for variables with normal distribution.
were calculated for continuous variables with normal distribution.
We used the Student's t-test in order to compare two independent variables with normal distribution.