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Distribution of quantitative variables was tested using Shapiro Wilk test.
The distribution of quantitative variables was assessed by computing their means and standard deviations.
Distribution of quantitative variables was tested using the Shapiro-Wilk test.
Open image in new window Fig. 3 Well distribution of quantitative grain fluorescence experiment.
In a similar vein, distribution of quantitative and molecular genetic variation in plants and classic investigations on molecular variation in the Drosophila genome are also presented.
Difference in the distribution of quantitative and ordinal variables in SF versus HPF group was assessed with the Mann–Whitney test.
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Distributions of quantitative outcomes were summarized by mean with standard deviation and compared by using the Mann-Whitney U test, and those of categorical outcomes were summarized by counts and proportions and compared by using the chi-square test (or Fisher's exact test as appropriate).
Distributions of quantitative cord G6PD values exhibited a normal distribution in absence of the outliers only.
The normality of the distributions of quantitative variables was tested by the Kolmogorov-Smirnov test.
The exact Mann–Whitney test was used for pairwise comparisons of the location of distributions of quantitative variables.
The distributions of quantitative variables are expressed as the mean, standard deviation (SD), median, minimum, and maximum.
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