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  2. Template:Percent and number - Wikipedia

    en.wikipedia.org/wiki/Template:Percent_and_number

    For two-column table output, use |disp=table. To insert a line break before the parenthetical expression, use |disp=br() To add a prefix to the numbers, use |prefix=; for example, prefix=$ To add a suffix to the number, use |suffix=; for example, suffix= units. To pad the result with zeros to achieve the desired precision, use |pad=yes.

  3. Data compression ratio - Wikipedia

    en.wikipedia.org/wiki/Data_compression_ratio

    Thus, a representation that compresses the storage size of a file from 10 MB to 2 MB yields a space saving of 1 - 2/10 = 0.8, often notated as a percentage, 80%. For signals of indefinite size, such as streaming audio and video, the compression ratio is defined in terms of uncompressed and compressed data rates instead of data sizes:

  4. Finite difference coefficient - Wikipedia

    en.wikipedia.org/wiki/Finite_difference_coefficient

    This table contains the coefficients of the central differences, for several orders of accuracy and with uniform grid spacing: [1 ... −3/2: 1/3 4: −25/12: 4:

  5. Template:Percentage - Wikipedia

    en.wikipedia.org/wiki/Template:Percentage

    Template parameters [Edit template data]. Parameter Description Type Status; Numerator: 1: The Numerator of the calculated value. The percentage will be calculated as Numerator divided by Denominator.

  6. Percentage - Wikipedia

    en.wikipedia.org/wiki/Percentage

    In general, if an increase of x percent is followed by a decrease of x percent, and the initial amount was p, the final amount is p (1 + 0.01 x)(1 − 0.01 x) = p (1 − (0.01 x) 2); hence the net change is an overall decrease by x percent of x percent (the square of the original percent change when expressed as a decimal number).

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  8. Probability - Wikipedia

    en.wikipedia.org/wiki/Probability

    The probability of getting an outcome of "head-head" is 1 out of 4 outcomes, or, in numerical terms, 1/4, 0.25 or 25%. However, when it comes to practical application, there are two major competing categories of probability interpretations, whose adherents hold different views about the fundamental nature of probability:

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