Big error margins indicate lack of confidence in the predictions, and that should be clearly stated.
Also, the electoral college system turns one very big poll into 51 smaller polls, each one necessarily with
a bigger error margin (due to the reduced sampling data).
Not exact matches
It's a
big enough number to be reasonably confident in the result — within the
margin of
error 19 out of 20 times.
Plus, value investing provides you with a
bigger margin for
error, since you purchase stocks at a discount.
Central banks, of course, have a much
bigger margin for
error than your typical retiree.
Look at the
bigger picture — you are talking about a small difference in calories that probably falls within the
margin of
error anyway!
The Wolverines» defensive strength gives them a
bigger margin of
error than they've typically had during Beilein's tenure in the event their offense dries up.
The Ramblers like to play slow and grind out victories, so they're never going to have a
big margin for
error.
But the offense has almost no
margin for
error, and when you aren't coming up with
big plays, you end up having to take more snaps (and more frequently risk mistakes) to score.
But with such little
margin for postseason
error, every winnable game is the
biggest.
The
Big Ten has lost its
margin for
error after a Saturday of upsets, which knocked one of its preseason favorites from the New Year's Six.
It was lost when we went down
big and as is always the case there is no
margin for
error It was lost because NO took us out of our game and imposed their will upon us.
Haden brought order to the Secondary by holding down the opposing team's
biggest target, thus reducing every one else's responsibilities, and allowing them some
margin of
error.
Besides, the fans would certainly give him a
bigger margin of
error than either Jardim or Allegri.
Changes are from the last ComRes poll conducted on the telephone at the beginning of January, and show no significant change beyond the
margin of
error — though, for the record, this the
biggest Labour lead ComRes have recorded since the general election.
Changes are all within the
margin of
error, and reflect a consolidation of the great
big shifts last month when Labour were up ten points and the Lib Dems down eight.
They revised an earlier HIPPARCOS parallax estimate of l02 ly made in the 1990s that had an
error margin (Plx = 31.92 + / - 0.51 mas) just
big enough to suggest that the star may actually lie about 100 ly away, in agreement with Earth - based parallax measurements computed before 1978 as reported by Robert Burnham, Jr. (1931 - 93).
Which raises the question of why researchers even bother to do these
big «what did you eat and how sick did you get» kind of studies; they must have
error margins big enough to to drive a truck — sorry, a lorry — through, even if the researchers aren't up to some shady manipulation of the numbers, as you show that they were here.
The
bigger margin for
error means more likely disasters.)
In any event, I'm coming up with the same gut sense: there's a pretty massive
margin of
error on these numbers, and my innate guess at it is «
big.»
Obviously, one should allow for a
bigger margin for
error when trading zones as opposed to single lines.
Some may have a
bigger margin of
error because their database of dog breed markers is more limited.
The
margin of
error in various «forcings» and feedback loop strengths is so
big that there is a reasonable probability that global climate will cool in the next decade.
I insist that consideration of relative contributions of carbon fluxes without considering the
error margins is an utter nonsense, especially if the difference between two
big numbers (uptake and intake from oceans) is a prime concern.
«We have to be better at hiring than the
bigger firms because there's less
margin for
error.
Given the fact that Cortana connects to the internet and can search for information with Bing, the
margin for
error is sometimes far
bigger than it was with the native «Xbox...» triggered voice commands.
Independent brokers have little
margin of
error when
big powerhouses are spending lavishly to pull in customers.