Sentence examples for accounting for variability from inspiring English sources

Exact(41)

For example, it is not surprising that a difficulty with controlling outside variables categorized under manipulation of variables was associated with difficulty accounting for variability, because controlling outside variables provides a way to account for and minimize natural variation in samples.

In general, looking across the three assessments, the areas variable property of an experimental subject and measurement of outcome were easier for most students at the end of the course than manipulation of variables, accounting for variability, or scope of inference.

Five areas of difficulty with experimental design were identified: the variable properties of an experimental subject; the manipulated variables; measurement of outcomes; accounting for variability; and the scope of inference appropriate for experimental findings.

Similarly, for the bird assessment, the largest differences in the proportion of students with difficulties were found for the areas measurement of outcome and manipulation of variables, while difficulties involving accounting for variability and scope of inference remained almost unchanged at the end of semester (medium-gray bars in Figure 2, E and F).

This process led to the development of the RED (Table 2) with five major categories of student difficulties with experimental design as themes: 1) variable property of an experimental subject; 2) manipulation of variables; 3) measurement of outcome; 4) accounting for variability, and 5) scope of inference based on the findings.

The additive stochastic terms ξ(t), accounting for variability in gene expression or signaling noise, are random variables with a Gaussian white noise distribution N 0, η) with mean 0 and amplitude η.

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Similar(19)

Rigorous statistical analysis accounted for variability between human patients.

Thus, our exposure metric accounts for variability in on-field participation.

Time and dispersion derivatives were added to account for variability of the HRF across brain areas and subjects.

Data were further normalized using internal positive spike-in controls to account for variability in the hybridization process.

To account for variability in baseline diversity due to location, we modeled group-level intercepts per station.

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