Sentence examples for that deviates markedly from inspiring English sources

An outlier refers to an observation that deviates markedly from the pattern or distribution of the majority of the data.

Many of these HCV-infected inmates suffer from personality disorders (PD) [ 5, 6], a class of mental disorders characterized as an "enduring pattern of inner experience and behaviour that deviates markedly from the expectation of the individual's culture, is pervasive and inflexible, is onset in adolescence or early adulthood, is stable over time, and leads to distress or impairment" [ 7].

The analysis elucidates the way in which gravity-driven natural convection and solute sedimentation can result in solid fractions that deviate markedly from Scheil and Lever-rule-based models, which could alter mushy zone permeability.

In particular, the system evolution may occur along paths that deviate markedly from conodes.

23 We applied suitable transformations to outcome variables that deviated markedly from a normal distribution (triglycerides, insulin, and HOMA scores).

In a model with good overall fit, item 3 was the only item that deviated markedly from the weights of the original and failed to reach significance.

The genes having t-statistics that deviate markedly from the bulk of the observations were labeled as potentially having biological significance and may deserve further investigation [ 8].

In addition to examining the distribution of t statistics, we used this plot to observe points that deviate markedly from the bulk of the observations since they may represent difference in means of the patient and control groups.

To test this we chose six samples from older individuals for further investigation, two of which had a spectratype of approximately normal appearance and four that deviated markedly from a normal distribution.

Critical problems may indicate a clinical concern and behavior that deviate markedly from more typical problem behavior, such as breaking things belonging to others or self-harm.

Then one may be blissfully unaware that the data deviates markedly from a normal distribution.