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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
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zbMATH Open
Article . 1956
Data sources: zbMATH Open
Biometrika
Article . 1956 . Peer-reviewed
Data sources: Crossref
Biometrika
Article . 1956 . Peer-reviewed
Data sources: Crossref
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Confidence Intervals for a Proportion

Confidence intervals for a proportion
Authors: Crow, Edwin L.;

Confidence Intervals for a Proportion

Abstract

Tables of confidence intervals for a proportion based on the sample proportion are presented, calculated by a slight modification of the method proposed by Sterne (1954), for fixed sample sizes up to 30 and confidence coefficients of 0 90, 0 95 and 0 99. This system is compared, especially in shortness, with Sterne's system, Clopper & Pearson's (1934), and another, intermediate system. It is assumed that a random sample of fixed size n is drawn from an infinite population containing a proportion oT of individuals with a given characteristic, that r individuals are observed to have the characteristic, and that it is desired to estimate 7 by means of a two-sided confidence interval. While relatively tedious to calculate, Sterne's system and its modification have in common the advantage that no system is possible which has shorter total length of the n + 1 confidence intervals for r = 0, 1, .. ., n. However, they are at a disadvantage if one

Keywords

Parametric tolerance and confidence regions, confidence intervals

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
115
Top 10%
Top 1%
Average
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