Sentence examples for variance was evaluated using from inspiring English sources

Homogeneity of variance was evaluated using Levene's test.

Normality and homogeneity of variance were evaluated using the Shapiro Wilk (P < 0.05) and Levene (P < 0.05) tests, respectively.

Groups that were normal with equal variance were evaluated using one-way analysis of variance (ANOVA) to assess intergroup differences followed by Tukey's honest significant difference (HSD) test.

Differences between non-normally distributed groups (or groups that failed the test of equal variance) were evaluated using the Mann–Whitney Ranked Sum Test, and two way repeated measures ANOVA (Temperature experiments).

Equality of variances was evaluated using the F test.

The normal distribution of the variables was assessed by the non-parametric Kolmogorov Smirnov test and the homogeneity of variances was evaluated using Levene's test.

Eventually, statistical differences between measured and predicted medians were evaluated using Mann-Whitney test, and differences in variances were evaluated using the Levene's test.

Before statistical analysis, normal distribution and homogeneity of the variances were evaluated using Levene's test.

Regarding quantitative differences, normal distribution and homogeneity of variances were evaluated using Levene's test before conducting statistical analysis.

Before statistical analysis, normal distribution and homogeneity of the variances were evaluated using Levene's test and then variables were given a base 10 log-transformation if necessary.

Significance of the variance components was evaluated using non-parametric permutation tests with 10,000 iterations.