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Kritische Geschichte der Nationalökonomie und des Socialismus

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Bibliographic data

Contents: Essays of Benjamin Franklin

Monograph

Identifikator:
1753210836
URN:
urn:nbn:de:zbw-retromon-128414
Document type:
Monograph
Author:
Nogaro, Bertrand http://d-nb.info/gnd/117039713
Title:
Modern monetary systems
Place of publication:
London
Publisher:
King
Year of publication:
1927
Scope:
XII, 236 S.
Digitisation:
2021
Collection:
Economics Books
Usage license:
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Chapter

Document type:
Monograph
Structure type:
Chapter
Title:
Part III. Monetary theory and its application in practice
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. 
Tf, as in Chapter XII. §§ 4 et seq. (¢f. especially § 7), a number 
of variables are involved, the equations for determining the 
coefficients will be given by differentiating 
Sabine, pe Tat Dim my 2,2 
with respect to each coefficient in turn and equating the result to 
zero. This gives the equations of the form there stated. If a 
constant term be introduced, its “least square” value will be 
found to be zero, as above. 
III. THE LAW OF SMALL CHANCES. 
(Supplementary to Chapter XV.) 
WE have seen that the normal curve is the limit of the binomial 
(p +g)" when = is large and neither p nor ¢ very small. The 
student’s attention will now be directed to the limit reached 
when either p or ¢ becomes very small, but n is so large that 
either np or ng remains finite. 
Let us regard the n trials of the event, for which the chance of 
success at each trial is p, s made up of m +m’ =n trials; then 
the probability of having at least m successes in the m +m’ 
trials is evidently the sum of the m'+1 terms of the expansion 
of (p+¢)® beginning with p™ But this probability, which we 
may term P,,, can be expressed in another and more convenient 
form with the help of the following reasoning. The required 
result might happen in any one of m+ 1 ways. For instance :— 
(a) Each of the first mm trials might succeed; the chance of 
this is p™. 
(3) The first m 41 trials might give m successes and 1 failure, 
the latter not to happen on the (m + 1)™ trial (a condition already 
covered by (a)). But the probability of m successes and 1 failure, 
the latter at a specified trial, is p™. ¢, and, as the failure might 
occur in any one of m out of m + 1 trials, the complete probability 
of (0) is mp™. q. 
(¢) The first m + 2 trials might give m successes and 2 failures, 
the (m + 2) trial not to be a failure (so as to avoid a repetition 
of either of the preceding cases); the probability of this is 
m(m+1) mn 
aye 
In a similar way we find for the contribution of m+ 3 trials, 
giving m successes and 3 failures, 
m+ 1) +2) ns 
366 
oF
	        

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