Letter | Published:

A Labour-saving Method of Sampling

Nature volume 155, pages 4950 (13 January 1945) | Download Citation

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Abstract

IF a fraction p of a population have the attribute A, then it is well known that if m members out of a sample of N have this attribute, the best estimate of p is and its standard error is or Supposing, therefore, that we want our estimate of p to be correct within a standard error of 10 per cent of its value, we must count a sample containing 100(1 – p) members with the attribute A. If we do not know p roughly before-hand we do not know how large to take our sample. For example, if we wish to estimate the frequency of a type of blood corpuscle, and count 1,000 blood corpuscles in all, we should get such values as 20 ± 1·3 per cent, or 1 ± 0·31 per cent. The former value would be needlessly precise for many purposes. The latter would not differ significantly from an estimate of 2 per cent.

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Affiliations

  1. Department of Biometry, University College, London. Dec. 7.

    • J. B. S. HALDANE

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DOI

https://doi.org/10.1038/155049b0

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