population variance

population variance

[‚päp·yə′lā·shən ′ver·ē·əns]
(statistics)
The arithmetic average of the numbers (v1-v̄)2,…, (vN -v̄)2, where vi are numbers obtained from a population with N members, one for each member, and v̄ is the population mean.
References in periodicals archive ?
Just look at the population variance between the two counties.
Major, Ph.D., from the University of Otago in New Zealand, and colleagues conducted a meta-analysis of cross-sectional data to assess the relative contributions of diet pattern and inherited genetic variants to population variance in serum urate levels.
Va, among-population variance; Vb, between-individual within- population variance. Table 5.
In this paper, we also extend Tang and Tsui [12] work to find upper bound of each of the generalized p values, p(x), for hypotheses testing of the one population variance, the difference between two population variances, and the ratio of population variances of lognormal distributions with known coefficients of variation.
Three ratio type estimators were proposed for population variance utilizing the single auxiliary variable assuming the transformed population for adaptive cluster sampling, in presented study.
Monitoring population variance, larval samplings and thriving mosquito,
where j is sampling fraction at jth phase, jx is sample mean of auxiliary variable at jth phase, 2xS is population variance of auxiliary variable, 2yS is variance of study variable and xyS is covariance between X and Y.
The input set with the highest uncertainty, population variance diversity schedules, shows yearly energy use from -0.45% to 0.85% from the mean.
For 2 subgroups with equal variance, the total population variance is a function of the subgroup variance, means of the subgroups, and the relative frequencies of the populations:
Despite its rising popularity, a population variance for SIG has never been established and without such a measure, a reference range cannot be quoted (5).
Of course, one could simply use a brute force method to improve the precision of your outcome estimates by taking an average of tens or even hundreds of measurements per observation (thereby reducing measurement error and directly improving your estimate of the "true" population variance).
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