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Differences in continuous variables between metabolic syndrome subjects and controls were studied by Student's T-test in case of normality and by Mann Whitney U-test in case of non-normality.
Initially, all data collected were subjected to analysis of normality.
An exploration analysis performed on dependent variables at pre-test and two post-tests to examine preliminary assumption for mixed between-within subject ANOVA on tests of normality, linearity, multi-collinearity, univariate and multivariate outliers and homogeneity of variance revealed no serious violation to test assumptions [ 33].
The analysis of variance is subjected to the assumptions of normality of distributions as well as homogeneity of variance for all groups of the considered factor.
Calculation of the tolerance factor (K) in this method is subject to the normality assumption of the parent distribution of ({text{EDI}}^{j}), which is not the case in many practical situations, especially when the central limit theorem cannot be invoked.
Interestingly, Kuecheyan notes how the work of thinkers such as Michel Foucault, who questioned different regimes of normality and subjects outside of the norm, such as subjects classified with mental illness, prisoners, etc. is what in part led to a larger fascination with an expansive category of identity.
Anyway, the phenomenon builds momentum, and the measure of normality is subject to continual revision: the more rubber fetishists reveal all before a live studio audience, the more additional rubber fetishists will feel impelled to do the same.
The data was subjected to Kolmogorov-Smirnov test of normality.
The data obtained in these experiments were subjected to the Kolmorgorov Smirnov test of normality; all the data sets tested were shown to be Gaussian.
It is well known that estimation and hypothesis testing procedures for ICCs are, in general, sensitive to the assumption of normality and are subject to unstable variance [ 1, 19].
Almost 10% of the subjects were outside the 90% limits of normality as defined by GLI (6.4% for FEV1, 9.8% for FVC), but most of those subjects were located above the 95th percentile.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com