Sentence examples for at least three errors from inspiring English sources
Across the polls there appear to have been at least three errors: Labour significantly underperformed compared with expectations set by polls.
After two disappointing and rather sloppily argued reports on Ethical food and Executive pay in recent months, a casual reading of this week's edition shows up at least three errors in the space of less than twenty pages.1) In "New vaccines for old killers" you state the World Bank's figure that Ghana's per capita health budget is $31 per day.
A barcode sequence has to gain at least three errors before it will be falsely counted as an alternative barcode.
The idea is this: if one sequence has, for example, three more 'T' nucleotides than another, then the alignment will have at least three errors (mismatches or indels).
The idea is quite simple: if one sequence has, for example, three more 'G' nucleotides than another sequence, then their alignment will have at least three errors.
We disagreed with the appeals court's adaptive-functioning analysis, however, and identified at least five errors.
He calculates that about 2.5tn comparisons have been made (500,000 [crime scene samples] x 5,000,000 [subject samples] = 2,500,000,000,000) so it is reasonable to expect that at least two errors have occurred.
In 100 innings in the field through Friday, Nunez had six errors; according to Stats L.L.C., every other player with at least six errors had played at least 200 innings.
Check out the ABA chart for more info; but beware, there are at least two errors.
Such approach introduces at least two errors: (a) the Kozeny Carman equation is based on an idealized solid medium with pipe conduits, rather than a realistic granular medium and (b) even if a grain size is used, it is obvious that it varies with varying porosity.
They found that about half of the papers in high-end journals contained some statistical error, and that about 15 percent of all papers had at least one error that changed a reported finding — almost always in opposition to the authors' hypothesis.
