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Systematic sampling is a sampling design that employs the technique of selecting the elements to be sampled using a fixed pattern by first arranging the elements in a certain pattern (Kalton, 1983).
Additionally, stratified sampling refers to a method of first partitioning the whole population into subgroups called strata after which samples are chosen from each stratum (Särndal, Swensson & Wretman, 1992). Cluster sampling is another method of sampling where the population is divided into smaller units called clusters where the researcher randomly selects the elements to be sampled from each cluster (Thompson, 2012). This technique is useful when the population is too large.
There exist various sampling situations: the population in a given country is divided into districts and a household is sampled from each group to represent the whole population. Additionally, a class with 100 students; 36 female and 64 male students. Each student’s name is listed on a sheet of paper and then placed in a bowl where they are mixed thoroughly. A paper is picked each at a time without replacement and the student’s name on the paper is sampled.
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