Sentence examples for normality verified from inspiring English sources

Categorical variables were compared between independent groups using the Chi-squared test or Fisher's exact test, and continuous variables were compared using Student's t-test or the Mann-Whitney test, with normality verified by the Shapiro-Wilk test and homoscedasticity by the Fisher-Snedecor test.

The comparisons between study groups will be analysed using Chi-square or Fisher's exact test for categorical variables, and Student's or Mann–Whitney tests for quantitative variables, with normality verified by the Shapiro-Wilk test and homoscedasticity by the Fisher-Snedecor test.

Comparisons between independent groups will be analysed using the χ or Fisher's exact test for categorical variables (notably primary outcome, proportion of patients with a healed anal fistula 3 months after surgery) and the Student t test or Mann-Whitney's test for quantitative parameters, with normality verified by the Shapiro-Wilk test and homoscedasticity by the Fisher-Snedecor test.

The hypothesis of normality and log normality was verified for the total dataset and for each of the two distinct subsets using the Shapiro Wilk test (Table  2).

For expression analysis, normality was verified using the Shapiro-Wilk normality test.

Assumption of normality was verified using the normal probability plot, Shapiro-Wilk's W test and the Levene's test for homogeneity of variances.

Normality was verified for all tests using the D'Agostino-Pearson omnibus normality test, or the Kolmogorov Smirnov test when sample size was too small.

Normality was verified using the Shapiro Wilk test and through visual examination of histograms with normal curve, and normality plots.

It shows that the normality is verified for both groups of data belonging to the two different geological units, while the log normality is verified for only one.

Normality was verified using the Kolmogorov-Smirnov test; in the case of a non-normal distribution, nonparametric tests were used (Spearman correlation, Mann Whitney, and Kruskal-Wallis).

Experimental data normality was verified, and then data were submitted to analysis of variance, using SAS (1997) software package.