Sentence examples for tests corrected from inspiring English sources

We used two-tailed, independent samples t-tests (corrected for multiple comparisons using Scheffe's F test), and Mann-Whitney U tests (corrected for multiple comparisons using Bonferroni correction) in order to evaluate differences between means.

χ Tests corrected for variability due to multistage sampling design (Rao-Scott correction yielding F- statistic) and logistic regression were used to determine the nature of the association between risk factors, asthma and allergy symptoms and demographic variables.

"But hey, hey, all I'm trying to do here is be fair, because it can't be right to have one set of tests corrected and commented on by one instructor according to one standard, and the others by somebody entirely different, employing different criteria.

Asterisks indicate significant difference (p values are based on paired t tests corrected for multiple comparisons) between the yeast strains harboring cocoa genes and YJ0.

One-way ANOVA was used to determine differences between more than two groups, followed by post-hoc tests corrected by the Bonferroni method for multiple comparisons (nalbuphine plasma concentrations, cumulative clinical scores).

For clinical parameters, day to day differences were calculated to account for different starting values at the beginning of the experiment and analyzed for each day by multiple t tests, corrected for multiple comparisons with the Holm-Sidak method (two tailed; H0 = "means of day to day differences are the same between CMS and vehicle treated group").

Based on the corrected data, we can conduct association tests correcting for population stratification.

Unless otherwise stated, p-values are multiple-test corrected using Bonferoni correction.

The multiple testing corrected P-values (Benjamini correction) are reported.

The effects of data smoothing and miscalibration were assessed with paired-sample t test, corrected for multiple comparisons (Bonferroni).

The results of Student's t test, corrected for multiple comparisons, are shown: *p < 0.05, **p < 0.001.