Sentence examples for normality needs from inspiring English sources

But as the recent spate of sensationalist news stories about young children with the condition show, we, as a culture, have work to do: "normality" needs to widen its net.

This range of normality needs to be taken into account when assessing whether hormonal effects are adverse, either by elicitation of a sub- (or supra-) normal response, or persistence in a physiological state that is intended to be transitory.

EGT, EGD, and EGG depend on an assumption that the environmental exposure is normally distributed, and while we have shown that departure from normality need not have a significant impact on power outcomes, GDE, GTE, and GGE are clearly advantageous, since they do not require this assumption and are robust to non-normally distributed environmental exposures (15).

Eight main themes were interpreted within these studies (Fig.  2): profound grief; depression ; social isolation; relationship issues; siblings' issues; difficulty returning to normality; need for support and life changing event.

Although the F-test is a simple and intuitive test for DV analysis, its robustness against violation of the normality assumption needs investigation.

Faced with the likelihood of an unplanned pregnancy, I felt that one more weekend of normality was needed before I could contemplate adjusting to this huge event.

We examined descriptive statistics and bivariate associations for all variables for distributional normality; if needed, variables were natural log transformed.

The ANN model allows inclusion of a large number of variables and there are not many assumptions (such as normality) that need to be verified.

When utilising the hourly fetal urine production rate (HFUPR) to detect abnormal events during pregnancy, reliable reference HFUPR values for normality are needed.

We will use a linear regression model to examine the relationship between ABF and hospitals' case mix adjusted volume of cases (transformed for normality if needed).

Another advantage of the neural network approach is that there are not many assumptions (such as normality) that need to be verified before the models can be constructed.