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In the case of skewed distributions, tests were conducted on log-transformed data.
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In contrast, the K-S test rejected all other distributions tested (Table 2).
All genotype distributions tested (cases and controls) fulfilled the Hardy-Weinberg criteria (data not shown).
Each variable was examined for normal distribution by the Kolmogorov-Smirnov equality of distributions test.
Equal variance and normal distribution tests were performed to select the appropriate statistical approach.
A second application of the t distribution tests the hypothesis that two independent random samples have the same mean.
For example, the bit-distribution tests should (eventually) be able to display the actual histogram for the different bit ntuplets.
We examined the association of truck type distribution with the winter months using combined χ 2 and BP distribution tests.
Similar gene lists were identified using the automatic hyper-geometric distribution tests in the Gene List inspector function of Gene Spring.
The P values were derived using the binormial distribution tests.
Normal distribution tests were used to check the distribution form of constant numbers of a sample.
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CEO of Professional Science Editing for Scientists @ prosciediting.com