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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.
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.
Table 6 contains information about actual and predicted data distribution by a clustering algorithm.
Descriptive analysis contemplated frequencies, percentages, average, median, and standard deviation of the sample, with a study of data distribution by the Kolmogorov-Smirnov test.
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.
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.
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Comparing the data distributions by Mann–Whitney U-test supported the significance of these qualitative observations (P-values for NLCQ-1, RB6145 and tirapazamine vs saline-treated controls were <0.00001, <0.001 and 0.007).
All data are presented as mean ± SD or median (interquartile range) as indicated by data distribution tested by the Shapiro-Wilk test.
Data symmetry was tested by use of visual inspection of the data distribution plotted by histograms.
An exploration by Dean Radin, looking at the shape of the data distribution represented by the skew statistic may be seen on Dean's blog.
One of the major issues concerning undersea observation data is data distribution characterized by multi-disciplinary, multi-parameter and weather-independent continuous observations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com