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The actual difference is not usually a good way to compare the numbers, in particular because it depends on the unit of measurement. For instance, 1 m is the same as 100 cm, but the absolute difference between 2 and 1 m is 1 while the absolute difference between 200 and 100 cm is 100, giving the impression of a larger difference. [4]
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For most statistical applications, 5 to 25 percent of the ends are discarded. For example, given a set of 8 points, trimming by 12.5% would discard the minimum and maximum value in the sample: the smallest and largest values, and would compute the mean of the remaining 6 points.
Note that if n 2 is the closest perfect square to the desired square x and d = x - n 2 is their difference, it is more convenient to express this approximation in the form of mixed fraction as . Thus, in the previous example, the square root of 15 is 4 − 1 8 . {\displaystyle 4{\tfrac {-1}{8}}.}
In computing, a roundoff error, [1] also called rounding error, [2] is the difference between the result produced by a given algorithm using exact arithmetic and the result produced by the same algorithm using finite-precision, rounded arithmetic. [3]
Contrary to popular belief, they don't mean that all but 1% or 2% of the fat has been removed. Rather they refer to what percentage of the total weight is milk fat. For example, one cup of milk ...
Table 1: Kent's "words of estimative probability" [2] Certain 100% Give or take 0% The general area of possibility: Almost certain 93% Give or take about 6% Probable 75% Give or take about 12% Chances about even 50% Give or take about 10% Probably not 30% Give or take about 10% Almost certainly not 7% Give or take about 5% Impossible 0 Give or ...
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