Sentence examples for variability is small from inspiring English sources

Our evaluation suggests that experimental variability is small.

These data from the Post CABG trial reveal that technical variability is small and has negligible impact on the conclusions of the study.

Using subjective and objective statistical test methods, normal distribution is found suitable to represent interface shear strengths and their derived strength parameters especially when variability is small.

To understand more clearly the variability of WN estimates, we have drawn 20 reconstructions in Fig. 6, which confirms that the variability is small and diminishes when n grows.

Wilk's lambda value of 1.00 occurs when observed group means are equal (i.e., all the variances are explained by factors other than the difference between those group means), while a λ value less than 1.00 occurs when within-group variability is small compared to the total variability.

The Wilks' lambda value of 1.00 occurs when observed group mean responses are equal (i.e., all the variances are explained by factors other than difference between those group means), while a λ value less than 1.00 occurs when within-group variability is small compared to the total variability.

For a given variable, a PIC value greater than one suggests that this variable may be used for individual recognition since its intra-individual variability is smaller than its inter-individual variability.

The fact that the null-model variability is smaller than that of the actual alignment indicates that some systematic difference in evolutionary rates of different domains still remains even when their expression levels are identical.

So overall, while repeated measurements on the same sample do show a small amount of variability, this variability is smaller than the typical differences between different P450 variants, and is adequately captured by the duplicate measurements from the same preparation of protein that were used in this study.

In contrast, haemoglobin A1c (HbA1c) is also widely used as a marker of average blood glucose concentrations over the preceding 2 to 3 months and has two advantages over glucose tests: it does not require subjects to fast [ 4], and its intraindividual variability is smaller than that of glucose measurements [ 5].

QT/QTc variability was small across regimens, indicating statistically powerful results.