Full text: An Introduction to the theory of statistics

XIIL.—SIMPLE SAMPLING OF ATTRIBUTES. 259 
Mean M = 2-000, standard-deviation c=1296. Actual proportion 
of successes 2:00/12 =0-1667, agreeing with the theoretical value 
to the fourth place of decimals. Of course such very close 
agreement is accidental, and not to be always expected. 
(3) (G. U. Yule.) The following may be taken as an illustra- 
tion based on a smaller number of observations. Three dice were 
thrown 648 times, and the numbers of 5s or 6’s noted at 
each throw. p=1/3, ¢=2/3. Theoretical mean 1. Standard- 
deviation, 0-816. 
Frequency-distribution observed :— 
Successes, Frequency. 
“ 179 
i 298 
2 141 
o 30 
Total 648 
M=1'034, 0=0823. Actual proportion of successes 0:345. 
For other illustrations, some of which are cited in the questions 
at the end of this chapter, the student may be referred to the 
list of references on p. 273. The student should notice that in 
all the distributions given a range of six times the standard- 
deviation includes either all, or the great bulk of, the observations, 
as in most frequency-distributions of the same general form. We 
shall make use of this rule below, § 13. 
8. In deducing the formule (1) and (2) for the standard- 
deviations of simple sampling in the cases with which we have 
been dealing, only one condition has been explicitly laid down as 
necessary, viz. the independence of the several drawings, tossings, 
or other events composing the sample. But in point of fact this 
is not the only nor the most fundamental condition which has 
been explicitly or implicitly assumed, and it is necessary to realise 
all the conditions in order to grasp the limitations under which 
alone the formule arrived at will hold. Supposing, for example, 
that we observe among groups of 1000 persons, at different times 
or in different localities, various percentages of individuals 
possessing certain characteristics —dark hair, or blindness, or 
insanity, and so forth. Under what conditions should we 
expect the observed percentages to obey the law of sampling 
that we have found, and show a standard-deviation given by 
equation (2)? 
(a) In the first place we have tacitly assumed throughout the 
preceding work that our dice or our coins were the same set or
	        
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