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anonymous

  • 4 years ago

what is the basic meaning and relation between skewness and kurtosis?

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  1. Directrix
    • 4 years ago
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    They are both numerical measures of shape of the distribution: skewness tells you the amount and direction of skew (departure from horizontal symmetry), and kurtosis tells you how tall and sharp the central peak is, relative to a standard bell curve. http://www.tc3.edu/instruct/sbrown/stat/shape.htm#Skewness

  2. anonymous
    • 4 years ago
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    •If skewness is less than −1 or greater than +1, the distribution is highly skewed. •If skewness is between −1 and −½ or between +½ and +1, the distribution is moderately skewed. •If skewness is between −½ and +½, the distribution is approximately symmetric so is 1 the determinant?

  3. Directrix
    • 4 years ago
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    0 A zero value indicates that the values are relatively evenly distributed on both sides of the mean, typically but not necessarily implying a symmetric distribution.

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