Sentence examples for mean values differences from inspiring English sources

To all parameter pairs, when normally distributed, a t-test was used to verify whether mean values differences were statistically significant.

Significance of mean values differences in groups was estimated using Student t criteria.

Viewing data on a Bland-Altman plot showed that with higher mean values, differences go toward zero.

Despite the apparent changes in the mean values, differences in overall tumor weights were not statistically significant due to large variation between groups.

Interestingly, the spectral analysis of AD brain tissue stained with p-FTAA-Se revealed almost identical emission spectra for the two protein entities and the gap between the mean values (difference between means=−0.094±0.012) in the ratio plot was considerably decreased, although still significantly different.

For the determination of inter-group mean value differences, each parameter was subjected to the student t test for significance level (p < 0.05).

Since other studies reported that inter-subject variability of DMN activation can be fairly large [24], [37], we choose Fisher LSD for post-hoc tests and subsequent inferences, as it accounts for a more sensitive testing of mean value differences.

To assess the practical significance, effect sizes of the calculated mean value differences were also calculated.

Effect sizes (ES) were calculated to highlight the clinical importance of potential mean value differences.

Student's t-test was used to compare mean value differences.

bEffect size ns, non-significant Mean value differences and effect sizes between ALL and sarcoma are presented in Table 6.