Sentence examples for distinguish data points from inspiring English sources

For seven watersheds in New York State, USA ranging from 100 km2 to 6415 km2, we distinguish data points in the dQ/dt–Q plot belonging to individual recession events instead of looking at the entire data cloud.

Figure 1E is very busy and it is difficult to distinguish data points for diVCA wild type from diVCA mutants.

Papadopoulos is convinced that letters will help address this problem by providing additional data points to distinguish between seemingly similar straight-A students, as well as borderline applicants much further down the ladder, who are appealing candidates but may or may not have what it takes to make it through Cal.

The two-factor ANOVA used in this study to determine the influence of AtNHX1 is considered a powerful tool for the analysis of microarray experiments with multiple factors [ 11], as it utilized all 48 microarray data points to distinguish between an effect of genotypes across all treatments (main effect) and a treatment-dependent effect of lines (genotype × treatment interaction).

Chauvenet's Criterion, used to identify outliers, distinguishes an acceptable range for data points based on the mean and standard deviation of the group.

This type of data set is called a nominal data set because the data points are distinguished only by their names.

It is important to note that our tabulations for superfamily composition (Table  2) did not distinguish between securely identified fossils (gray data points in Figure  2), from those whose taxonomic assignment was more questionable (white data points in Figure  2).

Some of this variation is likely statistical noise inherent to the use of a very small number of data points (typically less than 15) to distinguish between sometimes quite similar distributions.

It should be noted that both devices performed very similarly with the mean values with 4%% of each other, making the data points between the two difficult to distinguish.

It should be distinguished from outliers that are distinct from most of the data points in a sample but not necessarily influential (Bollen and Jackman, 1990).

This interface is distinguished by content-enabled charts with the ability to click on data points and directly access the corresponding image for reference purposes.