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  2. Rounding - Wikipedia

    en.wikipedia.org/wiki/Rounding

    This is one method used when rounding to significant figures due to its simplicity. This method, also known as commercial rounding, [citation needed] treats positive and negative values symmetrically, and therefore is free of overall positive/negative bias if the original numbers are positive or negative with equal probability. It does, however ...

  3. Significant figures - Wikipedia

    en.wikipedia.org/wiki/Significant_figures

    For example, if 1254 is rounded to 2 significant figures, then 5 and 4 are replaced to 0 so that it will be 1300. For a number with the decimal point in rounding, remove the digits after the n digit. For example, if 14.895 is rounded to 3 significant figures, then the digits after 8 are removed so that it will be 14.9.

  4. False precision - Wikipedia

    en.wikipedia.org/wiki/False_precision

    However, in contrast, it is good practice to retain more significant figures than this in the intermediate stages of a calculation, in order to avoid accumulated rounding errors. False precision commonly arises when high-precision and low-precision data are combined, when using an electronic calculator, and in conversion of units.

  5. Numeric precision in Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Numeric_precision_in...

    Excel maintains 15 figures in its numbers, but they are not always accurate; mathematically, the bottom line should be the same as the top line, in 'fp-math' the step '1 + 1/9000' leads to a rounding up as the first bit of the 14 bit tail '10111000110010' of the mantissa falling off the table when adding 1 is a '1', this up-rounding is not undone when subtracting the 1 again, since there is no ...

  6. Round-off error - Wikipedia

    en.wikipedia.org/wiki/Round-off_error

    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]

  7. Template:Percentage - Wikipedia

    en.wikipedia.org/wiki/Template:Percentage

    Significant figures: sigfig: If set to a positive integer, the precision of the returned number will be adjusted to match the requested number of significant figures. Number: optional % replacement % Replacement for % symbol. Example  percent: String: optional

  8. Talk:Significant figures - Wikipedia

    en.wikipedia.org/wiki/Talk:Significant_figures

    For example, 1300 x 0.5 = 700. There are two significant figures (1 and 3) in the number 1300, and there is one significant figure (5) in the number 0.5. Therefore, the product will have only one significant figure. When 650 is rounded to one significant figure the result is 700. For example, 1300 + 0.5 = 1301.

  9. Guard digit - Wikipedia

    en.wikipedia.org/wiki/Guard_digit

    After padding the second number (i.e., ) with two s, the bit after is the guard digit, and the bit after is the round digit. The result after rounding is 2.37 {\displaystyle 2.37} as opposed to 2.36 {\displaystyle 2.36} , without the extra bits (guard and round bits), i.e., by considering only 0.02 + 2.34 = 2.36 {\displaystyle 0.02+2.34=2.36} .