Sentence examples for erroneous determination from inspiring English sources

When the RASS values at each altitude deviated from this mean more than 3.6 K, we rejected the RASS data as an erroneous determination.

A two-dimensional observation of this phenomenon may lead to an erroneous determination of the amount of dispersed elements and the actual interaction between them, since bubbles and drops coming from different focal planes may appear overlapped.

Relying only on the normalized signal intensity of the deoxy Hb histidyl NδH or Val E11 will lead to an erroneous determination.

These circumstances might lead to the assignment of a gene to an incorrect functional category, which could lead to an erroneous determination of the set of functions a bacterium is able to perform.

Based on classical schematic model eyes such as the Gullstrand eye, a measurement error of 1 mm in AL ends up in an error refraction of around 3.5 D and an erroneous determination of the pseudophakic lens position of 1 mm based on the preoperative assessed phakic ACD leads to an error refraction of around 1.6 D.

Several studies have demonstrated that the mean of individual PCR efficiencies (E m ) gives a more reliable result than efficiencies derived with a standard curve because interwell differences would lead to the erroneous determination of gene expression, and an assumption of identical efficiency for each well confound the data analysis [ 55– 55].

Inaccurate moisture content measurements during testing may also induce erroneous determinations of compaction parameters.

So the accuracy of clinical molecular testing for genetic instability could be compromised by DNA contamination if undetected, leading to erroneous determinations of genetic instability.

Bioassessment programs that invest in long-term monitoring at a network of reference and non-reference sites will be able to identify drivers of variability and prevent erroneous determinations of impairment.

In addition to the possibility of erroneous determinations of taxonomy, herbarium collections often suffer from collector bias such that collections tend to represent certain genera or localities (i.e., along highways or near urban centers); this bias must be adequately addressed if the data will be used in distributional studies (Pyke and Ehrlich, 2010; Feeley, 2012).

As the score is a statistical variable containing probability/uncertainty, the results show variability which can cause erroneous emotion determination when the final score contains comparable values for more emotions.