Sentence examples for test for distribution from inspiring English sources

First, Shapiro Wilk tests were performed on each group of data to test for distribution normality.

Chi-squared test for distribution of selected actions 7.2, df 3, P 0.07, suggesting a trend bias against selection of ring finger responses.

2) Improve quantitation and statistical analysis of data: specifically 2a) While the histograms of cell wall angles in Figure 1 show different distributions among the three genotypes, it would add rigor to perform a statistical test for distribution shifts.

To test for distribution of the putatively expressed genes among different accessions of the same species, O. longistaminata grains collected at the Okavango region of Namibia were used for gnotobiotic cultivation of seedlings in the phytotron, and pooled for analysis.

To test for distribution differences within specific ranges of gene expression changes, three ranges were chosen: all genes with less than two-fold regulation (up or down); all genes with less than 1.5-fold regulation (up or down); and all genes with less than 1.2-fold regulation (up or down).

cp-value obtained by resampling for the Kolmogorov-Smirnov test for distribution differences between a particular functional category and the whole gene set for genes with significant infection responses in the lower court of Sloan; p values were adjusted for FDR by the TST method.

A joint test for distributions equivalency would like a better option under most circumstances.

When normal, the significance of the difference in the means was assessed using a standard Student's t test for distributions with equal variance, or the Welch-Satterthwaite-corrected Student's t test for distributions with unequal variance.

Fractions were tested for distribution of hClC-6 (wild type and AAGAA-mutant) by Western blotting and immunostaining with the polyclonal α-hClC-6 antibody (1∶1000).

All analyzed variables were tested for distribution.

The Kolmogorov-Smirnov-test was used for testing for distribution normality of the data.