After logarithmic transformation, most of obtained data were normally distributed as confirmed by Shapiro-Wilk normality test (using Statistix 7.0®, Analytical software, Tallahassee, FL, USA).
A normality test confirmed that data sets in both groups were distributed normally.
Services are now running normally, the company confirmed.
The corresponding residuals were normally distributed which confirmed that the models can be used for the prediction of the retention times and to optimize the separation.
These incidents are then confirmed, normally by a UN agency, through other sources.
The model explained 50.3% (R) of the variation, and the residuals were randomly and normally distributed as confirmed by nonparametric tests (Runs test and Kolmogorov-Smirnov test).
ANOVA and tukey tests were used for metric values; differences of values that were not normally distributed were confirmed with pairwise Mann-Whitney-U-tests.
Correlation analysis was performed by Spearman rank correlation because the values of the mentioned parameters are not normally distributed (as confirmed by performing the one-sample Kolmogorov-Smirnov test).
Calculation of partial Spearman rank correlation coefficients for non-normally distributed variables confirmed our results (data not shown).
