Sentence examples for data distribution by the from inspiring English sources

Descriptive analysis contemplated frequencies, percentages, average, median, and standard deviation of the sample, with a study of data distribution by the Kolmogorov-Smirnov test.

GraphPad PRISM 4.0a (GraphPad Software, Inc., USA) was used for linear data regression, the exclusion of normal data distribution by the Shapiro Wilk test, and the calculation of significances by the Mann–Whitney U test.

All other data sets were compared using the unpaired Student's t test with Welch's correction following confirmation of normal data distribution by the Kolmogorov-Smirnov and Shapiro-Wilk tests.

The significance of phytohormone and TPI activity induced by different HAEs was assessed by parametric or non-parametric tests after normality testing of the data distribution by the Shapiro test.

The significance of induced resistance between HAE and control was assessed by the Student's-t test or the Mann–Whitney U test after normality testing of data distribution by the Shapiro test.

The Polygon descriptor can model a data distribution by characterizing the data dependency relationship among the data variables, and the Deforming distance is designed to be translation, scale, and rotation invariant.

Box and whisker plots on the other hand, summarize a data distribution by showing median, the inter-quartile range, skewness and presence of outliers (if any) in the data.

As the distribution of the gene expression values was not normally distributed Kolmogorov-Smirnovv test), we normalized the data distribution by using log10 to carry out the statistical analysis.

We fill in the unknown parts of a data distribution by using our knowledge of the subject matter to construct a model of how that missing data could be determined.

We employed Kohonen's self organizing map (SOM) technique [25] for visualizing the data distribution by nonlinear projection of this high-dimensional sequence space [26].

The modification of the procedure introduced here sets the acceptance levels at the peak and LEHM of the data distribution given by the smoothing algorithm (with the smoothing coefficient of 15 mm, Figure 5B).