Summary of Measures of Spread (Variability)
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The
standard deviation is by far the most widely
used measure of spread. It takes every score into account, has extremely
useful properties when used with a
normal distribution,
and is tractable mathematically and, therefore, it appears in many formulas
in
inferential statistics. The standard deviation
is not a good measure of spread in highly-skewed distributions and should
be supplemented in those cases by the
semi-interquartile
range.
The
range is a useful statistic, but it cannot
stand alone as a measure of spread since it takes into account only two scores.
The semi-interquartile range is rarely used as a measure of spread, in part
because it is not very mathematically tractable. However, it is influenced
less by extreme scores than the standard deviation, is less subject to
sampling
fluctuations in highly-
skewed distributions,
and has a good intuitive meaning. It should be used to supplement the standard
deviation in most cases.
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