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Given that the data were not normally distributed, significance was evaluated using the Kruskal-Wallis, non-parametric test.
Since data were not normally distributed, significance of differences between control, control-solvent group, and experimental groups was tested by nonparametric Kruskal-Wallis followed by multiple comparisons.
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For normally distributed data, significance was assessed with the Student t-test.
For non-normally distributed data, significance was determined by use of the Wilcoxon/Kruskals Wallis 2 sample test.
For data which are not normally distributed, the significance of differences between the groups will be tested using the Mann-Whitney U test.
As the data were not normally distributed, statistical significance was assessed using GraphPad Prism® software (version 5, GraphPad Inc., http://www.graphpad.com/prism/) using Kruskal Wallis with post hoc analysis performed using Dunn's multiple comparison test.
But its potential significance — distributed on Showtime Pay-Per-View Pay-Per-View Pay-Per-ViewCBS — will tand weeks, even months, to sort through.
For normally distributed variables, the significance of differences was analyzed using the Prism software (GraphPad software, Inc., Version 4) using a two-tailed Student t test for single time point measure or a two-way ANOVA for time course assay.
Phenotypic data is normally distributed at the significance level α = 0.05.
For normally distributed data, statistical significance was computed using a two-tailed Student's t-test.
However, after Bonferroni correction, all the genes exhibiting evidence of recombination were distributed with no significance in all COGs.
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