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Households and number of respondents (male and female) from each village were selected using probability proportionate sampling to maintain proportionality.
Furthermore, reduced testing of finishers from the sub-population consisting of pigs from non-controlled housing might even be considered, if conducted in conjunction with a proportionate sampling scheme and a risk-based wildlife surveillance programme where applicable.
Since the distribution of enrolled students vary significantly between the four universities, we used proportionate sampling (Table 2).
Multi-stage random sampling and proportionate sampling were used to select the clusters in the three divisions.
Afterward, proportionate sampling technique was used to determine the number of respondents to be drawn from each community based on the projected population of the community.
According to Ayele (2009), proportionate sampling techniques was employed in order to undertake his study therefore from 10,094 total populations he used to select 150 samples households.
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A random proportionate sample (5%) was selected, bringing the sample size to 120 farmers who answered the questionnaire.
A proportionate sample of attendees was recruited from each location.
The Nielsen Company uses a stratified, proportionate sample for the Homescan Consumer Panel.
The obtained data was then used in determining the proportionate sample size for each sub-location and village.
Comparisons of mean levels were performed using the Student's t-test for unpaired samples and Chi square test was used for proportionate samples.
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