Sentence examples for dispersion mean from inspiring English sources

Descriptive statistics were used, including proportions with associated confidence intervals, as well as measures of central tendency and dispersion (mean and standard deviation [SD]).

For the oral dispersion, mean plasma concentrations were above 10 ng ml−1 for 36, 60 and 96 h at doses of 400, 800 and 1600 mg, respectively.

Variance analysis with age at first event showed that presence of dispersion came along with an earlier damaging injury (mean 8.6 ± 11.0 years, median 2 years) compared to absent dispersion (mean 12.8 ± 12.7 years, median 8 years; P = 0.022).

The categorical variables will be presented as frequencies and percentages (for example, the percentage of patients requiring ≤1 weekly treatment) and continuous variables using measures of central tendency and dispersion (mean and standard deviation for normally distributed variables, and otherwise median and interquartile rank).

The dispersion, mean size, and shape of the wax particles, both under the polarized light microscope and under SEM, depend on the molecular/bonding structure of the wax, the elemental composition, and the amount of asphaltene.

Considering both the median accuracy and the dispersion, Mean top 50% and ASSESS thus showed a similarly good performance across all the datasets and feature set sizes.

And they found that the high-pressure homogenizer exhibited the best effect among all the physical dispersion means used in their study.

Clearly the greater the dispersion means that it is more likely that RH will be greater than 75.5% on the one day and less than 75.5% on the subsequent day.

Greater "vowel dispersion" means more vowels in one's sonic arsenal.

This is an indication of potential for improvement, because greater dispersion means that lower performing organizations can make more improvement, as there will be a larger difference with higher performing organizations.

In our previous experimental observations, we checked the dispersion (means and sd) of the intersections, and used the Monte-Carlo technique of surrogate data to help distinguish between random and deterministic fluctuations [14] [16, and Appendix S1].