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Data distribution was analysed using the Shapiro-Wilk normality test.
Data distribution was analysed using the Kolmogorv Smirnov test.
The data distribution was analysed using the D'Agostino−Pearson normality test.
Normality of data distribution was analysed by the Shapiro Wilk test.
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The experimental data on the concentration of free electrons in fcc iron-based alloys, results of theoretical calculations on the electronic structure and experimental data of atomic distribution are analysed.
Categorical variables and data with a skewed distribution are analysed by chi-squared and Mann-Whitney test, respectively.
Those data subsets that showed a normal distribution were analysed by Student's t-test.
To clarify the relation between obesity and MS as well as the alterations in the fat distribution, data was analysed according to the presence or absence of either lipoatrophy or abdominal prominence.
The influence of the time resolution on the distribution of data was analysed by integrating the 6 s data to represent longer logging intervals.
The distribution of the electromyographic data was analysed by Shapiro-Wilk test that revealed that data were not normally distribuited.
Similar distributions were seen when the data was analysed separately for males and females.
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