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Their compliance with normal distribution was verified by employing the criteria of skewness, kurtosis, Pearson, Shapiro-Wilk and Kolmogorov-Smirnov.
Continuous variables baseline characteristics were compared by t tests or Mann-Whitney U tests according to their compliance with normal distribution assumptions, whereas χ tests or Fisher exact tests were used to compare categorical variables.
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The compliance of continuous variables with normal distribution was controlled with the Kolmogorov Smirnov test.
Compliance of the distribution of variables with normal distribution was tested by Shapiro-Wilk test.
Compliance of the variables included in the analysis with normal distribution was analyzed with the Kolmogorov Smirnov test.
The compliance of the empirical distribution of the examined variables with normal distribution was assessed using the Shapiro-Wilk test.
So for example, assume that you have a normal distribution one random variable with normal distribution.
(b) Sensors with normal distribution in 3D [33].
Continuous variables with normal distribution were expressed as mean ±SD.
Data with normal distribution are presented as mean ± standard deviation.
Variables with normal distribution are presented as means ± SD.
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