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The variance is tested using the Levene test13.
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A common problem in analysis of variance is testing for heterogeneity of different subsets of the full set of k population means.
Sphericity was tested with a Mauchly-Test and homogeneity of variance was tested using Levene's Test.
Homogeneity of variance was tested by analyzing standard solutions of CPs (including IS) at concentration levels of 1.0 and 50.0 μg/ml by ten injection replicates, respectively.
The assumption of homogeneity of variance was tested by using the Levene's Test of Equality of Variances.
The significance of variance was tested at p ≤ 0.05.
In all analyses, normality and equality of variance were tested.
Homogeneity of variance was tested using Levene's test (car-package).
Abrupt changes in mean and variance are tested using the Pettitt technique and the Loess method.
The assumptions of normality and heterogeneity of variance were tested through examining the model residuals and the Shapiro-Wilk test for normality.
Assumptions of parametric tests, data normality and homogeneity of variance were tested using Shapiro Wilk and Levene test (or F test for equal variance when two groups were compared), respectively.
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