Sentence examples for skewed distributed from inspiring English sources

"skewed distributed" is a correct and usable phrase in written English.
It is most commonly used in the context of statistics and probability, where it refers to a data distribution that is not symmetrical and has a long tail on one side. It can also be used in a more general context to describe something that is unevenly or unfairly distributed. Example: The housing market in this city is heavily skewed distributed, with the majority of affordable housing located in the outskirts and the more expensive properties concentrated in the downtown area.

Exact(26)

Covariates were included into these models if the P value was <0.05 in univariate analysis and skewed distributed continuous variables were log-transformed to attain normal distribution.

This is important because we found that input-output linkages and authority and hub scores are highly skewed distributed.

This situation leads to several null IATs and usually to a null median which, even when the IATs are skewed distributed, should not be used as the typical value to estimate the CRDs.

Skewed distributed variables are expressed as median with interquartile range.

The relative mtDNA copy number was skewed distributed in both autism cases and healthy control.

We employed the Mann-Whitney U test to compare skewed distributed variables.

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Similar(34)

This analysis, however, neglects the actual frequency of word usage, which is highly skew distributed [1, 10].

For the BMI data, positively skew distributed form is anticipated and will be checked prior to analysis.

The answers to the General SRH question are skew distributed, with only 1 - 3% selecting the alternative "bad".

In all analyses, skew index with non-GC skews distributed in much narrower range, and separation of different replication machineries was best demonstrated with gGCSI.

Clinical data were presented as mean±SD for normally distributed data, as median with IQR for skew distributed data and as number with percentage for categorical data.

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