Sentence examples for calculation of deviations from inspiring English sources

Exact(1)

Standard error of a mean (SEM) was used in order to include the cohort size into the calculation of deviations, where SEM represents the standard deviation divided by the square root of the sample number.

Similar(59)

The average number of errors made on the hierarchy recall test (see Methods for details of calculation of deviation of participant's reconstructed hierarchy from actual hierarchy) for the NO-FRAME and OLD-FRAME groups were 7.6 (SD 8.1) and 2.7 (SD 5.6), respectively (see Fig. 3A).

The difference in transfection efficiency across different experiments precludes the calculation of standard deviations based on absolute levels.

An efficient statistical procedure, based on the calculation of standard deviations, is used to qualitatively characterize the elemental composition of the aerosol.

Fluctuations of the tracer concentration in time were used for statistical evaluations, such as the calculation of standard deviations and two-point correlations.

Each experiment was repeated at least three times for calculation of standard deviations.

Calculation of GR deviation cumulative distribution exactly showed the Kangan-Dalan (Permian Triassic) boundary.

For calculation of standard deviation of beat-to-beat interval (SDNN), the RRI were visually inspected, and the data considered as artifact were manually removed.

Site-specific measurements and channel modeling have led to an empirical method for calculation of shadowing deviation based on obstacles meddling with the signal path [25], providing a novel approach for an accurate large-scale consideration of shadowing phenomena.

As shown in Figure 4, features extraction using wavelet transform passes through three steps: wavelet decomposition using Haar mother waveform, median filtering, and finally calculation of standard deviation [22].

These are calculated by subtracting off the global mean of each subject for the testing or training sessions, respectively, from that subjects performance scores previous to the calculation of standard deviation across subjects.

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