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• Systematic Sampling is a probability sampling method where people or researchers select members of the population in a regular interval.
• For example, by selecting every 17th person on the list of the population. If the population is in the random order, this can imitate the benefits of random sampling.
• Systematic sampling can help in minimizing biased samples and poor survey results. If there is a low risk for manipulation of data .
• Systematic sampling introduces certain arbitrary parameters in the data. This can cause overrepresentation or underrepresentation of patterns
In systematic sampling, members from a large population are selected according to a random starting and a fixed periodic interval.
Only stratified sampling, where the population is divided into several data, guarantees the member of each group within a population will be sampled.
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