Sentence examples for binomial proportion was performed from inspiring English sources

The 95% confidence intervals for the proportion of people who received vaccinations were calculated using the 'exact' (Clopper Pearson) method for proportions and an equivalence test for the binomial proportion was performed to assess whether the uptake of vaccinations found in this study was statistically significantly different compared with that reported by the DOH in England.

For ACR variables, the normal approximation for the difference in the binomial proportions was performed at the end of each period.

In this setting, the 95% CI length for a binomial proportion is 24%, ranging from 19%to43%3%.

Indeed, the standard error of a binomial proportion is about 0.05 for 100 simulated datasets.

For each segment (decision node labeled (1) in Figure 1), a binomial test was performed to identify loss of heterozygosity (segments for which the proportion of heterozygous SNPs was significantly lower than the proportion estimated for the whole genome).

Normal approximation Z test or exact binomial probability calculation was performed to conduct one-sample proportion comparison with the given value (10%).

Binomial regression analysis was performed across the entire study group.

When comparing different samples, a two-sample test for binomial proportions was used.

Analysis of the precision data for the four replicates was performed using exact binomial proportion with exact two-sided P-values.

Comparative analysis was performed by comparing binomial proportions and exact 95% confidence intervals (CI), with non-overlapping CIs considered significantly different.

Cell counting was performed manually, and the proportion of cells that were positive (i.e., were surrounded by a fluorescent ring) was reported with error bars indicating the 95% confidence intervals calculated theoretically from the binomial distribution.