Sentence examples for sample and differences from inspiring English sources

There are significant variations in the prevalence of C. trachomatis infections in men with infertility ranging from 0%too 42.3%, depending on the methodology, type of sample and differences of infection rates in different populations.

We conducted preliminary analyses using ANOVA and the chi square test to investigate the characteristics of the sample and differences in the group formation.

European, Asian, and African immigrants constituted the largest immigrant groups in this sample, and differences between these three groups were compared using analysis of variance (ANOVA) with Bonferroni post-hoc comparisons.

Given the repeated measures nature of the data, and dual locations, this investigation will therefore have greater than 90% power to detect simple main effects of intervention (versus control) for the entire sample, and differences between location blocks (90 participants in each location).

The study is powered at 80% to detect differences between means of 0.55 standard deviations for two groups sized 106 patients each (half of the sample), and differences of 0.8 standard deviations between two groups sized 53 patients each (quarter of the sample).

The research questions were "How well does HARP predict downstream quality of life?" and "Does the inclusion of predictors of FD increase the predictive capacity of the HARP in terms of downstream quality of life?" Age and sex descriptors were calculated for the sample, and differences in PCS and MCS were calculated for age-sex groups using analysis of variance (ANOVA) models.

Results were expressed as the mean ± standard deviation of the three different samples and differences were considered statistically significant at p<0.05.

As expected, the microbiota of the CD patients behaved differently given the initial variations between the baseline samples and differences in the patients' responses to therapy.

These conflicting results may be because of the various techniques used, the biological samples analyzed, timing of sampling, and differences in subject selection.

PC1 and PC2 in the score chart (Fig. 9a) demonstrated the greatest discrimination among the samples, and differences were related to the unsaturated and saturated fatty acids present.

This will mean further improvement of the global forest inventory and harvest statistics, which are currently subject to substantial errors due to infrequent and unequal sampling, and differences in definitions and classifications (FAO 2010).