In addition, item 12, 17, and 22 also showed very
high kurtosis (i.e., 26.0, 14.1, and 42.7, respectively).
Not exact matches
I saw a study showing that 1) average IQ has increased by 15 points in the past 50 years and that 2) Asians have the
highest median IQ with negative
kurtosis to the normal distribution.
Kurtosis, fatter tails and
higher peaks, or skewness on the distribution can be problematic for the ratio, as standard deviation doesn't have the same effectiveness when these problems exist.
If you have a situation where you are pretty sure that the likelihood will beat down the tails of your distribution, then what you really want in an uninformative prior is one that maximizes your width rather than the extreme tails of the distribution — relatively
high standard deviation and relatively low
kurtosis.
the used to be wet, but now hot + dry might well have lower variance, but also might have moved the mean
higher and increased the
kurtosis.
The
kurtosis varied between − 0.4 and 1.6, but in the case of the subscale Conduct Problems it did reach
high levels, up to 7.8 in case of 11 - years old girls.
The multivariate
kurtosis estimate was
high (Mardia normalized z - statistic = 58.71) rejecting multivariate normality.
Because of the very skewed distribution (skewness = 3.27 and
kurtosis = 11.97) the outcome measure was recoded as a binomial variable (median split), in which 0 indicated a low Disgust mean and 1 a
high Disgust mean.