Sentence examples for population power from inspiring English sources

The main centres of population, power and wealth in the pre-industrial English Midlands lay in the fertile and accessible river valleys of the Trent, the Severn and the Avon.

After adjusting for economy and population power, Egypt (193.6), Palestine (18.1), Kingdom of Saudi Arabia (KSA) (13.0), and Jordan (11.5) had the highest research productivity.

In Table 5, the proportion of simulations in which the estimated confidence interval successfully covered the observed mean population power values for each test is shown.

The larger variances may account for the slow convergence to the population power as the target and estimating study sample sizes and degrees of freedom increase.

After adjusting for economy and population power, Egypt (193.6), Palestine (18.1), KSA (13.0), and Jordan (11.5) had the highest research productivity.

After adjusting for economy and population power, Somalia (89), Morocco (32.5), Egypt (31.1), Yemen (21.4), and Palestine (21.2) had the highest research output.

In the sixteenth and seventeenth centuries, London's population, powered by immigration, was growing and changing quickly.

The worst cases occurred with the smallest sample size for the target study, for a variety of population sphericity values and estimated population powers.

In Table 4, the observed mean population powers are presented for the four UNIREP tests for the population sphericity values and ranks of X considered for target rank-adjusted Huynh-Feldt power of 0.80 and sample size of 16 or 48.

In this paper, stochastic models of fault damage zones are generated by incorporating the statistical properties of fault populations (power law length and throw distributions, orientation distribution) and different spatial distributions, including randomly located, simple and hierarchical clustering of faults.

Among southeast Alaska populations, power for detecting a significant FST = 0.001 was 0.261, and 1.0 for FST = 0.01.