Sentence examples for between variables with normal from inspiring English sources

The T-test/ANOVA was applied for analysis of associations between variables with normal distributions, and the Kruskal-Wilcoxon test was used for non-parametric analysis.

Correlations between variables with normal distribution were calculated by Pearson correlation coefficient analysis.

To detect the difference between variables with normal distribution, it will be used the ANOVA/ANCOVA tests followed by Bonferroni post hoc.

Differences between variables with a normal distribution, including the annual wear rate, were tested using a linear mixed models analysis.

Correlations between variables with non-normal distributions were measured by Spearman's rank correlation coefficient.

To assess correlations between variables with non-normal distributions a spearman rho correlation test was performed.

Comparison between continuous variables with normal distributions including age and hemoglobin concentration was done by the Student's t-test or the Anova test.

Student t test and Mann-Whitney U - test were used to assess differences between continuous variables with normal and nonparametric distribution respectively.

For variables with normal distribution, comparisons between groups were performed using unpaired Student's t tests, whereas for variables with skewed distribution Mann–Whitney U tests were used.

Continuous variables with normal distribution were compared between the treatment group and the placebo group by two-way analysis of variance (ANOVA) taking into account stratification by GA if homogeneity of variance was verified, and by Student's t-test if ANOVA failed to show any effect of GA.

Mean comparisons between obese and normal-weight children for continuous variables with normal distribution were compared by a Student t test for unpaired samples and those with an asymmetric distribution by the Mann-Whitney U test.