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  2. Scott's rule - Wikipedia

    en.wikipedia.org/wiki/Scott's_Rule

    Scott's rule is a method to select the number of bins in a histogram. [1] Scott's rule is widely employed in data analysis software including R, [2] Python [3] and Microsoft Excel where it is the default bin selection method. [4]

  3. Nelson rules - Wikipedia

    en.wikipedia.org/wiki/Nelson_rules

    The above eight rules apply to a chart of a variable value. A second chart, the moving range chart, can also be used but only with rules 1, 2, 3 and 4. Such a chart plots a graph of the maximum value - minimum value of N adjacent points against the time sample of the range.

  4. Three-point estimation - Wikipedia

    en.wikipedia.org/wiki/Three-point_estimation

    The 99.7% confidence interval for the true project work time is approximately E(project) ± 3 × SD(project) Information Systems typically uses the 95% confidence interval for all project and task estimates. [2] These confidence interval estimates assume that the data from all of the tasks combine to be approximately normal (see asymptotic ...

  5. Golden-section search - Wikipedia

    en.wikipedia.org/wiki/Golden-section_search

    The golden-section search is a technique for finding an extremum (minimum or maximum) of a function inside a specified interval. For a strictly unimodal function with an extremum inside the interval, it will find that extremum, while for an interval containing multiple extrema (possibly including the interval boundaries), it will converge to one of them.

  6. Third normal form - Wikipedia

    en.wikipedia.org/wiki/Third_normal_form

    The third normal form (3NF) is a normal form used in database normalization. 3NF was originally defined by E. F. Codd in 1971. [2]Codd's definition states that a table is in 3NF if and only if both of the following conditions hold:

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    The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.

  8. Quartile - Wikipedia

    en.wikipedia.org/wiki/Quartile

    If you do not choose the median as the new data point, then continue the Method 1 or 2 where you have started. If there are (4n+1) data points, then the lower quartile is 25% of the nth data value plus 75% of the (n+1)th data value; the upper quartile is 75% of the (3n+1)th data point plus 25% of the (3n+2)th data point.

  9. Horner's method - Wikipedia

    en.wikipedia.org/wiki/Horner's_method

    In binary (base-2) math, multiplication by a power of 2 is merely a register shift operation. Thus, multiplying by 2 is calculated in base-2 by an arithmetic shift. The factor (21) is a right arithmetic shift, a (0) results in no operation (since 2 0 = 1 is the multiplicative identity element), and a (2 1) results in a left arithmetic shift ...

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