ARITHMETIC PRECISION

The 'precision' of a value describes the number of digits that are used to express that value. In a scientific setting this would be the ''total'' number of digits (sometimes called the ''significant digits'') or, less commonly, the number of fractional digits or ''places'' (the number of digits following the point). This second definition is useful in financial and engineering applications where the number of digits in the fractional part has particular importance.
In both cases, the term ''precision'' can be used to describe the position at which an inexact result will be rounded. For example, in floating-point arithmetic, a result is rounded to a given or fixed precision, which is the length of the resulting significand. In financial calculations, a number is often rounded to a given number of places (for example, to two places after the point for many world currencies).
As an illustration, the decimal quantity 12.345 can be expressed with various numbers of significant digits or decimal places. If insufficient precision is available then the number is rounded in some manner to fit the available precision. The following table shows the results for various total precisions and decimal places, with the results rounded to nearest where ties round up or to an even digit (the most common rounding modes).
Note that it is often not appropriate to display a figure with more digits than that which can be measured. For instance, if a device measures to the nearest gram and gives a reading of 12.345 kg, it would create false precision if you were to express this measurement as 12.34500 kg.

Precision	Rounded to significant digits	Rounded to decimal places
Five	12.345	12.34500
Four	12.35	12.3450
Three	12.3	12.345
Two	12	12.35
One	1E+1 †	12.4
Zero	n/a	12

^† The notation 1E+1 means: 1 × 10⁺¹.
The representation of a positive number ''x'' to a precision of ''p'' significant digits has a numerical value that is given by the formula
:round(10^''−n''·''x'')·10^''n'', where ''n'' = floor(log₁₀ ''x'') + 1 – ''p''.
For a negative number, the numerical value is minus that of the absolute value.
The number 0, to any precision, can be taken to be 0.

Contents

See also

See also

★ Round-off error

★ Precision (computer science)

★ IEEE754 (IEEE floating point standard)