Sentence examples for conventional t tests from inspiring English sources

Group comparisons were performed using conventional t tests (or Wilcoxon Rank Sum for non-normal distributions) and ANOVAs with between- and within-subject factors as required.

Univariate comparisons between groups were calculated using conventional t tests.

This approach allowed us to address the concern surrounding the difference in the amount of initial crowding between both groups in a way that a conventional t test or Mann–Whitney U test would not be able to do.

Specifically, conventional t test statistics restricted on the proportion of false discoveries (FDR) were employed to compare each subgroup to the remaining three subgroups in order to identify the most highly significant, differentially expressed genes.

For instance, Roxas and Li (2008) have demonstrated that the SAM method for significance analysis of microarrays (Tusher et al. 2001) can be effectively adapted to proteomics data for which, when compared to conventional t test, it provides richer information about protein differential expression profiles and better estimation of false discovery rates and miss rates.

Although the conventional t-test is invalid for the dividend price and smoothed earnings price ratios, our test finds evidence for predictability.

We develop a pretest to determine whether the conventional t-test leads to invalid inference and an efficient test of predictability that corrects this problem.

We also find evidence for predictability with the short rate and the long-short yield spread, for which the conventional t-test leads to valid inference.

For example, a conventional t-test based approach is usually used to evaluate the statistical difference of genes among the individuals between two contrasted classes for a typical microarray dataset.

If overall epistasis was indicated, we estimated the four individual epistatic components from the regression model and tested them for significance with conventional t-tests.

In the primary analysis the CTSAQ functional score at 12 months will be compared between the surgical and non-surgical treatment arms, using conventional t-tests and ANCOVA techniques to adjust for baseline values.