Therefore, a positive skewness value indicates that the peak is located to the left with respect to the mean.
2.
A distribution that is skewed to the right ( the tail of the distribution is longer on the right ), will have a positive skewness.
3.
Also, only a log-normal distribution can compensate for the inability of almost all biological parameters to be of negative numbers ( at least when measured on absolute scales ), with the consequence that there is no definite limit to the size of outliers ( extreme values ) on the high side, but, on the other hand, they can never be less than zero, resulting in a positive skewness.
4.
When the larger values tend to be farther away from the mean than the smaller values, one has a skew distribution to the right ( i . e . there is positive skewness ), one may for example select the log-logistic distribution ( i . e . the log values of the data follow a logistic distribution ), the Gumbel distribution, the exponential distribution, the Pareto distribution, the Weibull distribution, or the Fr�chet distribution.
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