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  2. Round number - Wikipedia

    en.wikipedia.org/wiki/Round_number

    A round number is an integer that ends with one or more "0"s (zero-digit) in a given base. [1] So, 590 is rounder than 592, but 590 is less round than 600. In both technical and informal language, a round number is often interpreted to stand for a value or values near to the nominal value expressed.

  3. Rounding - Wikipedia

    en.wikipedia.org/wiki/Rounding

    This type of rounding, which is also named rounding to a logarithmic scale, is a variant of rounding to a specified power. Rounding on a logarithmic scale is accomplished by taking the log of the amount and doing normal rounding to the nearest value on the log scale. For example, resistors are supplied with preferred numbers on a logarithmic scale.

  4. Cash rounding - Wikipedia

    en.wikipedia.org/wiki/Cash_rounding

    An equal distance is possible when the rounding interval is an even number. The introduction of cash rounding is typically accompanied by publicity campaigns for awareness among both consumers and implementing merchants; smaller campaigns will accompany the extension of an existing rounding system to a higher rounding interval.

  5. Round - Wikipedia

    en.wikipedia.org/wiki/Round

    Rounding, reducing the number of significant figures in a number; Round number, ending with one or more zeroes; Round (cryptography) Roundness (geology) Roundedness, when pronouncing vowels; Labialization, when pronouncing consonants

  6. Distributive property - Wikipedia

    en.wikipedia.org/wiki/Distributive_property

    Distributivity and rounding [ edit ] In approximate arithmetic, such as floating-point arithmetic , the distributive property of multiplication (and division) over addition may fail because of the limitations of arithmetic precision .

  7. Percentile - Wikipedia

    en.wikipedia.org/wiki/Percentile

    Each standard deviation represents a fixed percentile. Thus, rounding to two decimal places, −3σ is the 0.13th percentile, −2σ the 2.28th percentile, −1σ the 15.87th percentile, 0σ the 50th percentile (both the mean and median of the distribution), +1σ the 84.13th percentile, +2σ the 97.72nd percentile, and +3σ the 99