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Free sign upThe phrase "sizable errors" is correct and usable in written English.
It can be used to describe significant or considerable mistakes in various contexts, such as reports, analyses, or assessments. Example: "The audit revealed sizable errors in the financial statements that need to be addressed immediately."
Exact(3)
Sizable errors exist in previously published studies on the residence time distribution for ideal laminar flow in a helically coiled tubes.
As has been discussed in [7], assuming a suitable lesion and investigation independent value V ̄ r for Vr does not introduce sizable errors since the second term in Equation 1 is in general distinctly smaller than the first one, while its inter-lesion variability is rather small.
Based on our newly developed "Type one error method", it turned out in our study that even small deviations from the assumption of the absence of gene associations may imply sizable errors in the identification of clones.
Similar(54)
This is the third sizable error in metrics that Facebook has uncovered in the past 60 days.
The Team B report 'discovered' a sizable error in previous NIE/CIA estimates of Soviet military outlays: the USSR was said to be spending 13, not 8, percent of its GNP on arms.
Adlard and Hazan already remarked that there were also sizable error rates for the RD group on minimal pairs like "smack" and "snack".
Spotty disclosure laws made much of that money difficult to track and revealed some sizable reporting errors, suggesting it may be hard to monitor the flow of money expected to be collected by state parties after the nation's new campaign-finance law takes effect in November.
Both the Larsen and SvdH scores require experienced and licensed readers and still have a sizable reading error [ 12], a shortcoming that DXR-BMD has minimized, although the radiographic equipment used can influence the results to a minor degree.
It is worth remembering that there are sizable margins of error attached to both of these polls.
Since they each have sizable margins of error (three to four points for each candidate's vote share), the different findings could simply be a product of sampling error.
A sizable portion of the errors with inexactly reported p values were of the "< instead of =" type.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com