Linear systematic sampling is a statistical method used to select a sample from a larger population by choosing every k-th element after a random starting point. The process begins by randomly selecting a starting point within the first k elements, then proceeds to select every k-th item from that point onward. This technique is efficient and ensures that the sample is spread evenly across the population, making it useful for various research applications. However, it may introduce bias if there is a hidden periodicity in the population.
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