Question
Systematic sampling
Answers
GPT 3.5
Systematic sampling is a sampling technique where the items in a population are selected at regular intervals or intervals based on a predetermined pattern. This sampling method is often used in research and surveys when it is not feasible or practical to survey the entire population.
To implement systematic sampling, a random starting point is selected from the population. Then, at regular intervals, every nth item is selected until the desired sample size is achieved. The interval (n) is calculated by dividing the population size by the desired sample size.
For example, if a researcher wants to survey 100 people from a population of 1000, they would select a random number between 1 and 10 as the starting point. Then, they would select every 10th person from the population until they reach 100 survey respondents.
Systematic sampling provides a representative, yet efficient, way to sample from a large population. However, it assumes that the population is randomly ordered, and any underlying patterns in the population can bias the sample. Therefore, it is important to ensure that the population is randomly ordered or apply a random starting point to minimize bias.
To implement systematic sampling, a random starting point is selected from the population. Then, at regular intervals, every nth item is selected until the desired sample size is achieved. The interval (n) is calculated by dividing the population size by the desired sample size.
For example, if a researcher wants to survey 100 people from a population of 1000, they would select a random number between 1 and 10 as the starting point. Then, they would select every 10th person from the population until they reach 100 survey respondents.
Systematic sampling provides a representative, yet efficient, way to sample from a large population. However, it assumes that the population is randomly ordered, and any underlying patterns in the population can bias the sample. Therefore, it is important to ensure that the population is randomly ordered or apply a random starting point to minimize bias.