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Values represented were averages from three replicates with standard deviation represented by error bars.
For each case, we performed 25 simulations of which we display the average result and the standard deviation, represented by error bars.
For wild-type cells LT = 27.1 S.D. 4.2 μm (blue curve with standard deviation represented by grey shaded area) whilst for cdc25.22 cells LT = 61.2 S.D. 7.8 μm (red curve).
The results shown in Tables 7 and 8 were obtained from the clinical data in which Gaussian white noise was added with a standard deviation (represented by σ) equal to 20% of the mean value sampled at each time point from the simulation.
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Mean values and standard deviations, represented by bar errors in Figs. 4 and 5, have been estimated by statistical analysis over the five repeated measurements.
The average θ, φ values computed for each group of data points are given in Table 1 (θ exp, φ exp), where the spread, i.e., standard deviation is represented by the error values.
The statistical significance of the obtained value is evaluated based on the standard deviation σw represented by the following formula (Katoh et al. 2013): σ w = ∑ i = 1 N q E w t i · v i 2 - 1 N ∑ i = 1 N q E w t i · v i 2, (2) Figure 1 Schematic diagram of whistler-mode chorus waves and resonant electrons.
In each slice, systematic deviations are represented by polar and radial functions and random deviations are modeled by translating the contour points with a given distance derived from the random field theory.
Data presented in the Figures and the text are the means of the replicates, and their standard deviations are represented by error bars in the Figures.
The standard deviation represents the value by which the technical replicates for each sample deviate from the mean percent methylation value.
Finally, the mathematical expectation and standard deviation are respectively represented by μ x and σ x for a r.v.
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