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Simple random sampling

Simple random sampling


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To counter the main weakness of systematic sampling, you can abandon regular intervals and leave the selection of items completely to chance, called simple random sampling. In this case, selection of items could be from all possible groups in your population. The problem here is that there you cannot control the risk of (slight) overrepresentation of groups that have their items more often selected than others, and (slight) underrepresentation of groups that fall outside the random selection. I.e., it is possible that when you sample a burial population to examine diseases using simple random sampling, that you may not have any infants in your sample (or too few) and thus have a bias in the younger age categories. To counter these problems, you can use a mixture of systematic and random sampling, or revert to stratified sampling.

Research topics: Software & Technology