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Symmetry and Skewness
A set of observations is symmetrically distributed if
its graphical representation (histogram, bar chart) is symmetric
with respect to a vertical axis passing through the mean. For a
symmetrically distributed population or sample, the mean, median
and mode have the same value. Half of all measurements are
greater than the mean, while half are less than the mean.
A set of observations that is not symmetrically distributed is
said to be skewed. It is positively
skewed if a greater proportion of the observations are
less than or equal to (as opposed to greater than or equal to)
the mean; this indicates that the mean is larger than the median.
The histogram of a positively skewed distribution will generally
have a long right tail; thus, this distribution is also known as
being skewed to the right.
On the other hand, a negatively skewed distribution
has more observations that are greater than or equal to the mean.
Such a distribution has a mean that is less than the median. The
histogram of a negatively skewed distribution will generally have
a long left tail; thus, the phrase skewed to the left is
applied here.
The Pearson coefficient of skewness provides a numerical
measure of the skewness of a distribution. Denoted by SK, it is
calculated as follows:
SK = 3 ( m - m
) / s for a population
= 3 ( - ) / s for a sample
For a perfectly symmetric distribution, the mean and median
will have the same value, and SK will have the value of 0. A
distribution that is skewed to the right will have a mean that is
larger than the median, and thus SK will have a positive value;
thus, the distribution is also known as being positively skewed.
A distribution that is skewed to the left will have a mean that
is less than the median, and so SK will have a negative value;
thus, the phrase "negatively skewed". In general, the
values of SK will vary between -3 and 3.
EX. Given the following sorted data:
1.2, 1.5, 1.9, 2.4, 2.4, 2.5, 2.6, 3.0, 3.5, 3.8
= 2.48 as computed
earlier
= 2.45 as computed
earlier
s = 0.8176
SK = 3 (2.48 - 2.45) / 0.8176
= 0.1101
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