systematic sample
a sample that is chosen through a methodical selection of subjects
A systematic sample is a statistical sampling method that involves selecting every nth element from a population to create a sample. For example, suppose you want to collect a sample of 50 students from a school, and there are 1000 students in the school. You could use a systematic sample by choosing a starting point, say the 10th student, and then selecting every 20th student after that.
The advantage of using a systematic sample is that it reduces the possible bias that can arise from subjective selection. This method ensures that every element has an equal chance of being selected, unlike convenience sampling or judgmental sampling.
However, it is important to ensure that the population is randomly ordered before taking a systematic sample. Otherwise, the sample could be biased if, for example, the regularity of the data creates a non-random pattern, and data is missed.
Overall, a systematic sample can be an easy and reliable way to take a representative sample from a large population, without falling into the biases that can arise when choosing samples from a population.
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