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Concept

Systematic Sample

In a systematic sample, the members of a population are ordered randomly or in a random-like way. The sample size is predetermined and selected among the members in a specified interval. The intervals are determined by dividing the population size by the sample size. Consider an example. |c| Five customers are surveyed about the quality of a fragrance shampoo.

A sample of 5 people is selected from a population of 20 people using systematic sampling.

A systematic sample is often used when a complete list of the population is available. Different samples can be created by varying the starting point when using systematic sampling. This gives the surveyors the ability to check if the conclusions hold across the samples.

Extra

Biased or Unbiased Sampling

Systematic samples can be either biased or unbiased.

Biased: &If the initial order of the population is biased, &the sample will also be biased. Unbiased: &If the members of the population are ordered &randomly without a cyclic pattern, it is &expected that the systematic sampling &will also be unbiased.

An example of a bias would be if the population is arranged in a cyclical pattern that matches the sampling interval. That can lead to a group being preferred over other groups, which leads to bias in the sample. It is important to remember that unbiased samples are better suited to generate a representative sample.

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