To study the population statistics, we applied descriptive statistical methods, in particular measures of central tendency – minimum, maximum, mean, median and mode – and measures of variability – interquartile range, standard deviation and coefficient of variation.
Data was interpreted using descriptive statistical methods.
The data were analyzed using descriptive statistical methods, content analysis, and the Mann-Whitney U Test.
Quantitative methods and a descriptive design process included chi-square tests and descriptive statistical methods.
Finally, the third type of dynamics, identified on the basis of descriptive statistical methods, is characterized by persistence of the initial protein concentration levels until the +1 day after completion of the flight, with an increase/or decrease by the +7th day after landing.
Descriptive statistical methods were used to calculate means and SDs.
Descriptive statistical methods and regression analysis were used in statistical analysis.
Common descriptive statistical methods (mean, median, standard deviation) were used for data analysis.
The former were analyzed using (descriptive) statistical methods; the latter by interpretation, which we discuss in Section 2.3.
Data were analyzed by descriptive statistical methods and are expressed as mean ± SD, medians, interquartile range (IRQ, 25-75 % quartile), and coefficient of variation (CV).
Quantitative data has been analyzed with descriptive statistical methods (means and standard deviation) and, in order to determine the relationship between the items in the different sections, the Spearman's r correlation coefficient has been calculated in some cases.
