Sentence examples for between two test groups from inspiring English sources

Generally speaking, the bigger the group size, the easier it gets to find statistical differences between two test groups.

Critical biomarkers screened by component p[1] for separation between the two test groups and the control, and by p[2], for separation between the two test groups, are shown in Fig. 1I and 1J, respectively.

Student's t test analysis was used to determine whether there was a significant difference in the shear bond strength between the two test groups.

Mann–Whitney non-parametric statistical analysis was used to compare the ARI between the two test groups, and Kruskal-Wallis non-parametric statistical analysis was used to compare each bracket performance within itself at T1, T2, and T3.

Measurements taken after day 30 showed a significant difference (P = 0.01) between the two test groups.

However, the magnitude of GVS-induced body deviation was significantly different between the two test groups.

There was no significant difference in the time for these features between the two test groups (P = 0.68 by the log-rank test).

Comparison between these two test groups of patients showed a difference in the prevalence of Porphyromonas gingivalis DNA in samples taken from vessels.

The cognitive test was conducted during the light phase of the day where no changes in total locomotion activity were observed between the two tested groups.

The age, weight, height, gender ratio, ASA classification, and duration of surgery were not statistically different between the two tested groups.

The ankle activity mean score did not differ significantly (p = 0.733 to 0.999) between the four test groups (Table 1).