One drawback of simple random sampling is that it may lead to poor representation if large areas of the universe are excluded from the sample. This disadvantage is overcome through systematic sampling which relies on sorting the target population into an ordered sampling frame and selecting elements at regular intervals through this ordered frame. The sampling interval or skip (k) is equal to the population size divided by the sample size (k = population size/sample size). At the start an element at random is selected from within the first to the kth element in the list, and then every kth element in the frame is selected. This approach ensures that the sample is evenly spread over entire target population.
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