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(when the mean value of the random variable is known) as a Function of Sample Size |
The skewness or asymmetry about the mean for a distribution can be measured in terms of the mean value of the cube of the deviations for its mean.
Suppose the probability density distribution for x is
The cube of x can then only have values between -0.125 and +0.125. Thus the probability density function for w=x^{3} is given by
Below are shown the histograms for 2000 repetitions of taking samples of n random variables and computing the mean value of the cubes of a random variable which is uniformly distributed between -0.5 and +0.5.
Each time the display is refreshed a new batch of 2000 samples is created.
As can be seen, as the sample size n gets larger the distribution more closely approximates the shape of the normal distribution.
Although the distribution for n=1 is decidedly non-normal, for n=16 the distribution looks quite close to a normal distribution. The mean value is zero.
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