THEORY OF STATISTICS.
can be drawn freehand, or by aid of a curve ruler, through the
tops of the ordinates so determined. The logarithms of # in the
table on p. 303 are given to facilitate the multiplication. The only
point in which the student is likely to find any difficulty is
in the use of the scales: he must be careful to remember
that the standard-deviation must be expressed in terms of the
class-interval as a wnat in order to obtain for y, a number of
observations per interval comparable with the frequencies of his
table.
The process may be varied by keeping the normal curve
drawn to one scale, and redrawing the actual distribution
80 as to make the area, mean, and standard-deviation the
same. Thus suppose a diagram of a normal curve was printed
once for all to a scale, say, of y,=5 inches, o=1 inch, and
it were required to fit the distribution of stature to it.
Since the standard-deviation is 2-57 inches of stature, the
scale of stature is 1 inch =2'57 inch of stature, or 0:389 inches
=1 inch of stature ; this scale must be drawn on the base of the
normal-curve diagram, being so placed that the mean falls
at 67-46. As regards the scale of frequency-per-interval, this
is given by the fact that the whole area of the polygon showing
the actual distribution must be equal to the area of the
normal curve, that is 5 «/2r=1253 square inches. If, therefore,
the scale required is n= observations per interval to the inch,
we have, the number of observations being 8585,
8585
nx 2:57 RRs
which gives n= 266-6.
Though the second method saves curve drawing, the first,
on the whole, involves the least arithmetic and the simplest
plotting.
15. Any plotting of a diagram, or the equivalent arithmetical
comparison of actual frequencies with those given by the
fitted normal distribution, affords, of course, in itself, only a
rough test, of a practical kind, of the normality of the given
distribution. The question whether all the observed differences
between actual and calculated frequencies, taken together,
may have arisen merely as fluctuations of sampling, so that the
actual distribution may be regarded as strictly normal, neglecting
such errors, is a question of a kind that cannot be answered in
an elementary work (cf. ref. 22). At present the student is in
a position to compare the divergences of actual from calculated
frequencies with fluctuations of sampling in the case of single
class-intervals, or single groups of class-intervals only. If the
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