Even though graphs fall short, in the matter of precision of statement, of the numerical tables, they have the great advantage of enabling a large mass of figures to be grasped as a whole much more readily than is possible when those figures are presented in one or more tables.
A table of this kind tells us, however, something more than the average height of the individuals represented. We note that 191 were not more than 5 ft. 61 in. in height and 198 were not less
than 5 ft. 91 in. in height. By calculation from the figures shown, assuming that the individual heights were distributed with ap proximate regularity along the intervals from inch to inch, the points representing 5 ft. 6.3 in. and 5 ft. 9.7 in. would divide the series of heights so that one-quarter of the whole number fell below the former, and one-quarter of the whole number above the latter. A similar calculation gives, as the point dividing the series into two equally numerous groups, 5 ft. 8.04 in. This last point is called the median of the series, and the two others are the lower and upper quartiles, the three points serving to divide the whole number examined into four groups of equal numbers of cases. The distance between the upper and lower quartiles, in the case in question 3.4 in., gives the range within which the mid dle half of the instances recorded lay. This distance expresses much more definitely the degree of concentration of the indi viduals in the neighbourhood of the median height than, for ex ample, the whole range (14 in.) within which all the measurements lie. If a more exact description of the nature of the distribution than is afforded by the specification of the median and quartiles, but of the same general character, is desired, the group may be divided into a number of parts, e.g., into ten equally numerous parts, the points of division being then known as deciles.
In many varieties of statistical problems it is found that the observations are distributed in a manner similar to that shown in the above illustration, and the question arises whether the form of the distribution is of a recognizably definite character, the determination of which can be of use in the interpretation of the results obtained. It is found that, in numerous cases, the 'Cf. Jubilee Vol. of the Royal Statistical Society, p. 257, where the late Professor Marshall used this illustration. The figures are based on imports less exports of sugar, excluding sugared goods.
manner in which the individual observations are distributed is in close accordance with that of events dependent on pure chance. Such a case is presented by the following. A number of balls, indistinguishable in size, weight or form, are placed in a bag, half of the balls being white and half black. If one ball be drawn from the bag, its colour, whether white or black, may be noted. The ball being replaced and the bag shaken, another drawing will give a result wholly independent of the first. The repetition of such drawings will furnish a record of runs of white and of black balls, some short, some long. The numbers of cases (a) of a change of colour in consecutive drawings (b) of sequences of the same colour of two, three, four, etc., in number, being noted, the material for a table is furnished, and this table would have a general similarity with that of the men's heights used above for illustration. It is possible to determine theoretically the relative frequency with which the various sequences would recur in a series of trials indefinitely extended.