Full text: An Introduction to the theory of statistics

CHAPTER VIIL 
MEASURES OF DISPERSION, ETC. 
1. Inadequacy of the range as a measure of dispersion—2-13. The standard 
deviation : its definition, calculation, and properties—14-19. The 
mean deviation : its definition, calculation, and properties—20-24, The 
quartile deviation or semi-interquartile range—25. Measures of 
relative dispersion—26. Measures of asymmetry or skewness—27-30. 
The method of grades or percentiles. 
1. THE simplest possible measure of the dispersion of a series of 
values of a variable is the actual range, i.e. the difference between 
the greatest and least values observed. While this is frequently 
quoted, it is as a rule the worst of all possible measures for any 
serious purpose. There are seldom real upper and lower limits 
to the possible values of the variable, very large or very small 
values being only more or less infrequent : the range is therefore 
subject to meaningless fluctuations of considerable magnitude 
according as values of greater or less infrequency happen to 
have been actually observed. Note, for instance, the figures of 
Table IX., Chap. VL p. 95, showing the frequency distributions of 
weights of adult males in the several parts of the United King- 
dom. In Wales, one individual was observed with a weight of 
over 280 lbs., the next heaviest being under 260 lbs. The 
addition of the one very exceptional individual has increased th~ 
range by some 30 lbs., or about one-fifth. A measure subject to 
erratic alterations by casual influences in this way is clearly not 
of much use for comparative purposes. Moreover, the measure 
takes no account of the form of the distribution within the limits 
of the range; it might well happen that, of two distributions 
covering precisely the same range of variation, the one showed 
the observations for the most part closely clustered round the 
average, while the other exhibited an almost even distribution of 
frequency over the whole range. Clearly we should not regard 
two such distributions as exhibiting the same dispersion, though 
they exhibit the same range. Some sort of measure of dispersion 
is therefore required, based, like the averages discussed in the last 
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