Sentence examples for the distribution of quantitative from inspiring English sources

The distribution of quantitative variables was assessed by computing their means and standard deviations.

Difference in the distribution of quantitative and ordinal variables in SF versus HPF group was assessed with the Mann–Whitney test.

Paired comparisons between the distribution of quantitative variable in SF versus HPF group at each time point were also assessed with the Mann–Whitney test.

Column 1 in Appendix Table 18 reports the distribution of quantitative matches (i.e., adequately matched, over-educated, and under-educated) for those that self-report being closely matched and also have exact occupation-field name.

To examine the distribution of quantitative autistic traits (QATs) in an independent neurofibromatosis type I (NF1) sample, the relationships between QAT, sex, and attention deficit hyperactivity disorder (ADHD) symptomatology, and to explore evidence for QAT mutational specificity within families.

The Kolmogorov-Smirnov test was used to evaluate the distribution of quantitative variables.

The normality of the distributions of quantitative variables was tested by the Kolmogorov-Smirnov test.

The distributions of quantitative variables are expressed as the mean, standard deviation (SD), median, minimum, and maximum.

The distributions of quantitative variables were tested for normality using Kolmogorov-Smirnov test, Shapiro-Wilk test and D'Agstino test.

The distributions of qualitative variables were compared with χ tests and the distributions of quantitative variables with non-parametric Kruskall Wallis tests.

In a first step, median estimates [min - max] of tumour cell percentage, RIN, 260/280 and 28 s/18 s ratios, and RNA quantities were provided to describe the distributions of quantitative characteristics of RNA used for both transcriptome and RT-qPCR analysis.