In both cases, the calculated ΔG is within the range of error in the computational methodology employed, so we expect that both configurations could exist in solution.
The overall mean absolute percent error is around 12.7% for the best multiphase flow correlation in the entire dataset, while the range of errors for the best correlation(s) in different data sub-clusters is from 0.01 to 3% for most cases with accurate PVT. 2.
In addition, in order to estimate the range of error in determining lung tissue that results from administration of contrast material, a 'lung phantom' was filled with known volumes of water containing increasing concentrations of contrast material and was scanned to compare the calculated increases in volume of water with the actual instilled volume.
This analysis also shows that plastid-encoded proteins are generally less divergent (red bars, Figure 3), as shown in Figure 1, however in this analysis the range of error was large because of the great distance to the cyanobacterium.
The electromotive-force and diffusion-coefficient measurements agree reasonably well with the values published in the scientific literature and indicate the range of error to be expected in engineering applications.
Statisticians point out that in a quota sample it is impossible to give each member of the universe a known chance of being selected, and one cannot therefore calculate the range of error in the results that could be due to chance.
Compared with the mathematical algorithm and test of variable thickness, the results of FEM were in the range of allowable error.
The error distributions of data used for NN1 and NN2 were found to be 82 and 79%, while for K1 and K2 was calculated to be 51 and 52%, in the range of ±10% error, respectively.
The new formula, based on the composition of main elements (in wt%) C, H, and O (i.e. HHV (MJ/kg)= -1.3675+0.3137C+0.7009H+0.0318O*), is the most accurate one, with more than 90% predictions in the range of ±5% error.
The prediction error of Dolphin Imaging VTO was analyzed by tabulating the error frequency of subjects within the range of acceptable error in both the X-axis (Table 2) and Y-axis (Table 3).
Eigen's seminal work and subsequent, increasingly sophisticated analysis showed that the error threshold, that is, the minimal fidelity that is required for mutations to be fixed and, accordingly, for evolution to proceed, is relatively low, in the range of 1-10 errors per replication cycle (the exact number remains a matter of debate) [ 31- 34].
