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An Introduction to the theory of statistics

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fullscreen: An Introduction to the theory of statistics

Monograph

Identifikator:
1751730271
URN:
urn:nbn:de:zbw-retromon-127610
Document type:
Monograph
Author:
Yule, George Udny http://d-nb.info/gnd/12910504X
Title:
An Introduction to the theory of statistics
Edition:
8. ed. rev
Place of publication:
London
Publisher:
Griffin
Year of publication:
1927
Scope:
XV, 422 S
Ill., Diagr
Digitisation:
2021
Collection:
Economics Books
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Chapter

Document type:
Monograph
Structure type:
Chapter
Title:
Part II. The theory of variables
Collection:
Economics Books

Contents

Table of contents

  • An Introduction to the theory of statistics
  • Title page
  • Part I. The theory of atributes
  • Part II. The theory of variables
  • Part III. Theory of sampling
  • Index

Full text

214 THEORY OF STATISTICS. 
whole, to be safer, for it eliminates the assumption that the errors 
in # and in y, in the same series of observations, are uncorrelated. 
An insufficient though partial test of the correctness of the 
assumptions may be made by correlating #, — 2, with ¥1—¥,: this 
correlation should vanish. Evidently, however, it may vanish 
from symmetry without thereby implying that all the correlations 
of the errors are zero. 
8. Mean and Standard-deviation of an Index.—(Ref.11.) The 
means and standard-deviations of non-linear functions of two or 
more variables can in general only be expressed in terms of the 
means and standard-deviations of the original variables to a first 
approximation, on the assumption that deviations are small 
compared with the mean values of the variables. Thus let it be 
required to find the mean and standard-deviation of a ratio or 
index Z = X,/X,, in terms of the constants for X, and X,. Let [7 
be the mean of Z, M, and J, the means of X; and X,. “Then 
lin 2) zy ¥ 
7-533) rarx(+ 3) 
Expand the second bracket by the binomial theorem, assuming 
that »,/M, is so small that powers higher than the second can 
be neglected. Then to this approximation 
1M, 1 1 3 | 
I== 77 - I) == 7 ) . 
That is, if r be the correlation between x; and #,, and if v, = o,/M,, 
vy =0o/M,, . 
Y 
I= a! — 70,0, + Vy?) 9) 
If s be the standard-deviation of Z we have 
1_/7X\2 
CL Joe Nl] 
S47 7% 7) 
1 M2 ( xy \? z Ne 
“7A 3 03 
Expanding the second bracket again by the binomial theorem, 
and neglecting terms of all orders above the second, 
1.0.2 Z\2 7 7,2 
2 mae a iNT Sr 
=i -¥ 2A] +5) (1 I, +378) 
M2 
= 7 1 + 2,2 — drow, + 30,2)
	        

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