Systematic Sampling For Accurate Sampling In Research And Surveys.

systematic sample

relies on arranging the target population according to some ordering scheme and then selecting elements at regular intervals through that ordered list. Systematic=Sample.

A systematic sample is a type of probability sample in which items or individuals are selected from a larger population at regular intervals. In a systematic sample, a starting point is selected and then every nth item or individual in the population is selected until the desired sample size is reached.

For example, if a researcher wanted to select a systematic sample of 100 students from a school with 1000 students, they might begin by selecting a random number between 1 and 10 (the sampling interval). If the random number was 5, they would then select every 5th student on the school’s list of students until they had reached the desired sample size of 100.

Systematic sampling is an easy and efficient way to select a representative sample from a larger population. However, it is important to note that systematic sampling may introduce bias if there is a pattern or structure in the population that corresponds with the sampling interval. Therefore, it is important to ensure that the interval is truly random and does not correspond with any underlying patterns or structures in the population.

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