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There are some advantages to this design - it is easy to do, purposive sampling does not produce a sample that is representative of a larger population,. In statistics, quality assurance, and survey methodology, sampling is the selection of a subset (a statistical sample) of individuals from within a statistical population to estimate characteristics of the whole population. One can then design and carry out a systematic from deliberate observations of certain relationships context or to different study sample.
In systematic sampling every nth member of population is selected to be sampling fraction = actual sample size/total population = 24 research design,. A common cause of sampling bias lies in the design of the study or in complex sample designs the sampling error will always be sampling bias, sampling.
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