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All data sets showed a normal distribution, passing the Kolmogorov-Smirnov normality test at α = 0.05.
The standardised residuals showed a normal distribution (Range ~ [ 3.80; 4.80]), indicating that the normality assumptions underlying multiple regression were met (see Figure S6, in Additional file 1).
No multicollinearity was present and the standardised residuals showed a normal distribution (Range = [ 2.92; 3.96]), meeting the important assumptions of normality and multicollinearity underlying multiple linear regression (see Figure S5, in Additional file 1).
The Kolmogórov Smirnov test showed a normal distribution of the variables.
The statistical analysis of the weld geometry showed a normal distribution of the each parameter that was measured.
At a slightly unsaturated condition of −3 kPa, however, the BTC showed a normal distribution quite similar to that of a repacked soil column.
There was marked interindividual variability in drug response as measured by all markers that showed a normal distribution.
The results of this test demonstrated that data showed a normal distribution.
The RILs transgressed the parents for the measured traits and showed a normal distribution.
The Shapiro Wilk test was used to determine if the three data sets showed a normal distribution.
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Under this scenario, SDGBV showed a normal distribution with a lower mean and lower range than for scenario 1.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com