Exact(14)
In case of non-Gaussian distribution, the data were ln-transformed and the non-parametric Mann-Whitney-U-Test was applied.
Before wide distribution, the data collection instrument was pilot tested.
Due to non-normal distribution, the data was analyzed using non-parametric Mann-Whitney test.
As the different measures did not follow a normal distribution, the data were log-transformed.
For variables with skewed distribution, the data are presented as medians and interquartile ranges (IQRs).
Control limits, lower and upper, are set usually at ±3 SDs of the distribution the data is assumed to follow.
Similar(46)
After log-transformation of right-skewed distributions, the data were found to be approximately normally distributed.
Interpreted through Weibull-type probability distributions, the data show much lower dispersion with respect to glass.
In order to quantitatively detect any difference between distributions, the data were split into quartiles.
A log-normal distribution of the data implies a normal distribution of the logarithmic data.
Non-parametric methods, also called distribution-free methods, do not assume the distribution of the data.
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