Systematic sampling is more efficient than simple random sampling because only one or a very few random numbers need to be drawn at the beginning.

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In systematic sampling, we select every nth individual from a population, which means we do not need to draw a random sample for every individual. Instead, we only need to select the first individual randomly, and then select the rest of the sample systematically. This makes the process more efficient and less time-consuming than simple random sampling, where every individual needs to be selected randomly.

Systematic Sampling Is More Efficient Than Simple Random Sampling Because