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  2. Mode (statistics) - Wikipedia

    en.wikipedia.org/wiki/Mode_(statistics)

    In continuous unimodal distributions the median often lies between the mean and the mode, about one third of the way going from mean to mode. In a formula, median ≈ (2 × mean + mode)/3. In a formula, median ≈ (2 × mean + mode)/3.

  3. Central tendency - Wikipedia

    en.wikipedia.org/wiki/Central_tendency

    the weighted arithmetic mean of the median and two quartiles. Winsorized mean an arithmetic mean in which extreme values are replaced by values closer to the median. Any of the above may be applied to each dimension of multi-dimensional data, but the results may not be invariant to rotations of the multi-dimensional space. Geometric median

  4. Median - Wikipedia

    en.wikipedia.org/wiki/Median

    The median is 2 in this case, as is the mode, and it might be seen as a better indication of the center than the arithmetic mean of 4, which is larger than all but one of the values. However, the widely cited empirical relationship that the mean is shifted "further into the tail" of a distribution than the median is not generally true.

  5. Normal distribution - Wikipedia

    en.wikipedia.org/wiki/Normal_distribution

    1.6.2 Using the Taylor series and ... distribution can be re-scaled and shifted via the formula ... which is at the same time the mode, the median and the mean of the ...

  6. Average - Wikipedia

    en.wikipedia.org/wiki/Average

    If exactly one value is left, it is the median; if two values, the median is the arithmetic mean of these two. This method takes the list 1, 7, 3, 13 and orders it to read 1, 3, 7, 13. Then the 1 and 13 are removed to obtain the list 3, 7. Since there are two elements in this remaining list, the median is their arithmetic mean, (3 + 7)/2 = 5.

  7. Summary statistics - Wikipedia

    en.wikipedia.org/wiki/Summary_statistics

    a measure of location, or central tendency, such as the arithmetic mean; a measure of statistical dispersion like the standard mean absolute deviation; a measure of the shape of the distribution like skewness or kurtosis; if more than one variable is measured, a measure of statistical dependence such as a correlation coefficient

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  9. Beta distribution - Wikipedia

    en.wikipedia.org/wiki/Beta_distribution

    A practical application of this occurs for example for random walks, since the probability for the time of the last visit to the origin in a random walk is distributed as the arcsine distribution Beta(1/2, 1/2): [5] [12] the mean of a number of realizations of a random walk is a much more robust estimator than the median (which is an ...