Sentence examples for made between statistical from inspiring English sources

Distinctions are made between statistical inference and decision, systematic and random error, confirmation and exploration, prediction and intervention, observation and experimentation, and random allocation and random selection.

When comparisons were made between two different groups, statistical significance was determined by the Student's t-test using the Stat View software program.

Comparisons have been made between SEM and other statistical models in different contexts [ 4- 13].

All data are reported as mean ±S.D. When comparisons were made between two different groups, statistical significance was determined by the Student's t-test using SPSS19 software program.

Interestingly, among the 64 statistical comparisons made between the two haplotypes in this study which showed no statistically significant differences in production of a variety of cytokines, a single exception was observed — that amongst children with prior bronchiolitis.

Because of the small number of patients with TSA, there were no statistical comparisons made between treatment groups.

* Statistical comparisons made between Sepsis and PS Of the surgical in-patients enrolled into this study, 19 had major open cardiac surgery that included CABG, pericardiectomy, valve replacement and atrial septal defect closure procedures.

A second important distinction we make is between statistical statements that are descriptions of our knowledge of the program assignment process and statistical statements that are structural assumptions about individual behavior.

Second, the importance of making distinctions between statistical significance and toxicologic relevance in interpreting the outcome of ED studies becomes pressing.

Statistical comparisons were made between the different groups, between the test groups and the control group, and between the flaps from different anatomical locations.

Statistical comparisons were made between each group using one-way analysis of variance (ANOVA), followed by Tukey's test to calculate P-values: *P < 0.05, **P < 0.01, ***P < 0.001; ****P < 0.0001.