Sentence examples for skew I from inspiring English sources

This decision resulted from the considerable data skew (i.e. assumption of normality is violated) as well as from the limited sample size.

Condition A [4]. (1) The function η : X × X → X is skew, i.e., η ( x, y ) + η ( y, x ) = 0, ∀ x, y ∈ X.   (2) The η is an affine function in the first argument.  .

Compared to naked mole-rats, however, Damaraland mole-rats have significantly less reproductive skew (i.e. a higher percentage of individuals will breed; ∼10% in Damaraland mole-rats and 1% in naked mole-rats; [20], [24]).

A curve fitting procedure called LMS (lmsChartMaker Pro Version 2.3) [13] was used to generate the reference curves because it is capable of handling the relatively common situation where the underlying reference data are skew, i.e. the data are not normally distributed.

Those sub-strands were classified into two classes: class I consists of sub-strands having a positive nucleotide-skew (i.e. G+T% > C+A%), and class II with a negative skew (i.e. G+T% < C+A%).

Of the 71 studies reporting costs, almost all demonstrated significant skew (i.e. the standard deviation multiplied by 2 was more than twice the mean).

We inspected the distributions of number of pain sites; scores on the SES, GDS, pain intensity, and pain interference measures; strategy helpfulness scores for strategies used by 25% or more participants (to ensure an adequate subgroup size); and number of treatments used; none were substantially skewed (i.e., skewness > 1.0).

These results suggested non-normal distributions and this was confirmed by the Kurtosis and Skewness measures that depicted in most of cases positively skewed (i.e. S > 0) and leptokurtic (i.e. K < 0) distributions.

For continuous variables, we compared differences using Welch's t test or the Mann–Whitney U test when the data were skewed (i.e., urine output).

Most species have positive AT skews and negative GC skews, i.e., most have a strand asymmetry characterized by an excess of A relative to T and an excess of C relative to G.

The distribution of only one variable was skewed, i.e. Number of events reported.