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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

THEORY OF STATISTICS. 
9. We have now from §§ 7 and 8— 
0=3(2yy . . .. ne ios... nm) 
Fe 25,34 IIL {=} i Prost Le Zz, — terms in Zg to z,) 
= 3(2; . Zyg i ») — ba5 tL CR) SE > 
= S23... . pep. wm S@s....n) 
That is 
S(x nh ) 
b 24 1.34 ....mn 2.3. 
12.340 0. n TI ed 5 . (7) 
But this is the value that would have been obtained by taking a 
regression-equation of the form 
I a co ar 
and determining 4,5. , by the method of least-squares, <.e. 
b1234 . . .. nis the regression of z,, =, ona, a uiollows 
at once from (2) that r,, ___ , is the correlation between 
Tig. ...pnand Zag, and from (4) that we may write 
a n 
I . . (8) 
Eom 2 oh 
an equation identical with the familiar relation &;,=7,,0,/0,, 
with the secondary suffixes 34 . . . . n added throughout. 
To illustrate the meaning of the equation by the simplest case, 
if we had three variables only, z,, ,, and x,, the value of byy5 OF 
7193 could be determined (1) by finding the correlations 7, and 
755 and the corresponding regressions b;, and b,,; (2) working out 
the residuals #, — 65.2, and w, — b,,.2;, for all associated deviations ; 
(3) working out the correlation between the residuals associated 
with the same values of #,, The method would not, however, be 
a practical one, as the arithmetic would be extremely lengthy, 
much more lengthy than the method given below for expressing 
a correlation of order p in terms of correlations of order p — 1. 
- 10. Any standard-deviation of order p may be expressed in terms 
of a standard-deviation of order p — 1 and a correlation of order p — 1. 
For, 
3210s... n) = 2(210s. .. (n-1)+ £1.35... n) 
= Si. ol n=0)® = b1nss. .. (n—1y%n — terms in x, to Za) 
wa S(af as. 2) (n—-1)) = bins... (n-1) (Tras... (n=1)* Tn23. .. (n-1)) 
or, dividing through by the number of observations, 
Oo RL Li is m-1{1 EF b1n2s waits te (R=T)\® On1.23 Sie o=1)) 
=olas ... tll ss we £q) 
236
	        

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An Introduction to the Theory of Statistics. Griffin, 1927.
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