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  1. The \"minus 3\" at the end of this formula is often explained as a correction to make the kurtosis of the normal distribution equal to zero.
    en.wikipedia.org/wiki/Kurtosis - Cached
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  2. This definition is used so that the standard normal distribution has a kurtosis of zero. In addition, ...
    www.itl.nist.gov/div898/handbook/eda/​section3/eda35b.htm - Cached
  3. Kurtosis excess is commonly used because of a normal distribution is equal to 0, ... kurtosis normal distribution. kurtosis {25, 35, 10, 17, 29, 14, 21, 31} ...
    mathworld.wolfram.com/Kurtosis.html - Cached
  4. Again, the excess kurtosis is generally used because the excess kurtosis of a normal distribution is 0. x ...
    www.tc3.edu/instruct/sbrown/stat/​shape.htm - Cached
  5. Determining if skewness and kurtosis are significantly non-normal. Skewness. The question arises in statistical analysis of deciding how skewed a distribution can be ...
    www.une.edu.au/WebStat/unit_materials/​c4_descriptive... - Cached
  6. Kurtosis risk in statistics and decision theory is the risk that results when a statistical model assumes the normal distribution, but is applied to observations that ...
    en.wikipedia.org/wiki/Kurtosis_risk - Cached
  7. The kurtosis of the normal distribution is 3. Distributions that are more outlier-prone than the normal distribution have kurtosis greater than 3; ...
    www.mathworks.com/help/stats/​kurtosis.html - Cached
  8. The \"minus 3\" at the end of this formula is often explained as a correction to make the kurtosis of the normal distribution equal to zero.
    www.wikidoc.org/index.php/Kurtosis - Cached
  9. Kurtosis A topic in the lecture \"Assumption of Normality\" Kurtosis is a measure of whether a distribution is fat-tailed (has a greater than normal proportion of ...
    psystats.wikispaces.com/Kurtosis - Cached
  10. Microsoft Word
    approaches the normal distribution. Kurtosis is usually of interest only when dealing with approximately symmetric distributions.
    core.ecu.edu/psyc/wuenschk/docs30/Skew-​Kurt.docx