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The sample size was calculated using the equation for proportions in finite populations based on a random proportional sample type, absolute error (e) = 0.05, α = 0.05, β = 0.1, p = q = 0.5.
The sample size was calculated using the equation for proportions in finite populations, based on a random proportional sample type, absolute error of e = 0.05, α = 0.05, β = 0.1, p = q = 0.5, requiring a degree of precision of over 90%.
A proportional sample of dairy herds in the targeted area was obtained, and animals were selected using a stratified sampling design to ensure representation of the population at risk.
Hospital admissions with malaria were all (or, in some cases, a proportional sample) of admissions to the paediatric ward of a given hospital who had a positive rapid diagnostic test or blood flim for malaria.
This allocation can be seen in the column "Proportional sample" in Table 2.
Proportional sample numbers of students were taken from all departments and sections.
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Proportional sampling was used, resulting in the selection of two to four medical schools per country.
Proportional sampling was used for sample size determination using formula proposed by Yamane (1967).
Dialysis units are chosen via a stratified random selection procedure to provide proportional sampling by region and type of facility within each country.
In the final stage of sample selection, the number of teachers that were interviewed was determined by a proportional sampling method.
The trees chosen for study were selected through proportional sampling by diameter class (ranging from 45 to 165 cm DBH) in order to properly represent the dominant and co-dominant tree populations with diameters appropriate for harvest.
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