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This error is found to be within 7% from test to test for a badly segregating material and within 0.5% for a moderately segregating material.
We have proposed to use an overall chi-square test to test for the association between an SNP with any one of the diseases.
We used the Breusch-Pagan test to test for heteroscedasticity.
These data were post tested using Tukey's multiple comparison test to test for differences between classes.
We used a Mantel-Haenszel chi-square test to test for statistical significance.
We used Fisher's exact test to test for significance of contingency tables of GO term and differential expression gene sets.
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Furthermore each data set was evaluated using the Q-test to test for outliers with some data being eliminated.
We used a t-test to test for difference in activity between the original and the mutated promoter.
We used an unpaired, two-tailed t-test to test for differences between the two conditions.
We performed a G-test to test for independence of mitochondrial lineage from nuclear cluster.
We used the Student's t-test to test for differences in means.
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CEO of Professional Science Editing for Scientists @ prosciediting.com