Systematic sampling is a probability sampling method and therefore takes advantage of random assignment to avoid bias. In your answer, please identify and explain one scenario under which a systematic sampling technique would result in a biased sample.
What will be an ideal response?
The answer to this question will vary with the student’s example, but should follow the following line of argument. Systematic sampling may result in a biased sample in at least two situations. One occurs if elements on the list have been ranked according to a characteristic. In that situation the position of the random start will affect the average value of the characteristic for the sample. For example, if students were ranked from the lowest to the highest GPA, a systematic sample with students 1, 51, and 101 would have a lower GPA than a sample with students 50, 100, and 150. Each sample would yield a GPA that presented a biased picture of the student population.
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