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Normality of variables' distribution was assessed by Shapiro Wilk's test; normally and non-normally distributed data are presented as mean ± SD and median [inter-quartile range], respectively.
The Kolmogorov Smirnov test was used to test normality of variables (data were considered to be normally distributed when p > 0.05).
Normality of variables was tested according the Kolmogorov Smirnov test.
The study also used One-Sample Kolmogorov-Smirnov Test to investigate the normality of variables' distribution.
In this study, the normality of variables was checked by one-sample K S test.
Normality of variables was previously checked through a Kolmogorov-Smirnov test in order to apply the proper t-statistic for mean and median differences.
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The Shapiro-Wilk test was carried out to assess the normality of variable distribution.
Normality of variable distributions was evaluated by Kolmogorov-Smirnov test.
The normality of variable distribution was assessed by the Kolmogorov-Smirnov goodness-of-fit test.
The normality of variable distributions was determined using the Shapiro-Wilk test.
Normality distribution of variables was examined using Kolmogorov-Smirnov test.
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