Sentence examples for mean value comparison from inspiring English sources

Based on this, discriminant function analysis can be used to determine which variables (Rf ranges) caused the mean value comparison to become significant or which variables can discriminate between groups.

Likewise, as V̇O2max should be confirmed on an individual basis, mean value comparisons between submaximal and supramaximal verification phases may not be the ideal approach and future studies may seek to examine and compare the differences between these protocols based on individual differences.

SPSS statistical software version 12.0 was used for mean value comparisons of single-factor multiple samples.

All mean value comparisons were made by one-way analysis of variance (ANOVA).

Values are expressed as means ± S.E.M. Mean Value Comparisons between two groups were performed using the Student t test.

All mean value comparisons for continuous variables were performed by using the 2-tailed paired samples t-test.

Subsequently, a Tukey post-hoc-test for multiple mean value comparisons was performed to determine statistically significant differences.

Mean value comparisons were conducted after verifying the distribution of data; parametrically, using the unpaired t-test, or using the Mann-Whitney U-test for non-Gaussian distributions.

All mean value comparisons for continuous variables (including the comparisons for F-FDG-avid lesion SUVmax values, background SUVmax values, and lesion-to-background SUVmax ratios) from the preoperative F-FDG PET/CT image group and the postoperative F-FDG PET/CT image group were performed by using the 2-tailed paired samples t-test.

This implicates that for low concentrations of XG, the air bubble diameters are less dispersed (around mean value) in comparison to the normal distribution.

The relative quantification method established a mean Ct value comparison (ΔCt) between mcrA (target gene) and fmdA (non-target gene 500 kb upstream from mcrA).