Sentence examples for the spread of distribution from inspiring English sources

The standard error of the difference (SEdiff) was calculated by: The standard error of the difference describes the spread of distribution of change scores that would be expected if no change occurred.

Pearson's coefficient reflects mutual colocalisation through the spread of distribution of pixels within two different channels determined by the intensity of a pixel present in one channel versus intensity of a corresponding pixel in the second channel, where 1.0 represents absolute mutual colocalisation.

While absolute values of dominance durations and the spread of distributions typically vary largely between individuals and rivalry type, 59 nearly all rivalry types exhibit leptokurtic (heavy-tailed) dominance durations.

However, we did not see any clear dichotomy in the distribution of phosphene thresholds of the patients; indeed the spreads of distribution for the phosphene parameters were remarkably similar between controls and patients (Fig. 4).

Compared with the raw distribution, adjustment and averaging reduced the spread of the distribution, especially at the upper end owing to the right skew in the data.

Tail proportions capture something of the spread of the distribution, while a mean only reveals where the distribution is centered, and thus the different indices reveal different aspects of population health.

For a given density range, the function is characterized by two parameters: median particle density ρ0.5 and distribution parameter σj, with the latter describes the spread of the distribution.

The dispersion parameter σ determines the spread of the distribution.

By this, we obtain time-varying signal-recovery rates and travel-time distributions, from which we derive the mean travel time and the spread of the distribution as function of time.

The distribution appeared to follow a normal Gaussian curve because there were few outliers, based on the spread of the distribution and the IQR (Figure 7 and Table 3).

The mean value of (f(r)) is affected by the spread of the distribution of r and by the curvature of f.