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The data were not normally distributed, however the normality tests failed due to extremes in the data.
Both the severity and time to peak GI discomfort were considered non-normally distributed by the respective normality tests.
As evidenced by normality tests, standardised residuals follow a normal distribution.
Graphical methods and normality tests were used to ascertain normalization of the distribution after transformation.
The Jarque-Bera normality tests indicate that the residuals are normally distributed.
Kolmogorov-Smirnov normality tests were utilised to investigate the normal distribution of data.
To test for normal distribution of input data, D'Agostino Pearson omnibus normality tests were performed.
Based on the plots and the normality tests, assume that the data are from a normally distributed population.
Goodness-of-fit for normality tests showed that all these three variables were not normally distributed (p < 0.0001).
Normality tests and residuals analysis showed that the JND data were not normally distributed.
Normality tests revealed that none of the individual wavenumber absorbance levels followed a normal distribution.
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