Here are some examples of sampling techniques with pictures:
Simple random sampling
Systematic sampling
Stratified sampling
Cluster sampling
Convenience sampling
Purposive sampling
Simple random sampling: This is the most basic type of sampling, in which each member of the population has an equal chance of being selected. This can be done by using a random number generator to select a sample from a list of the population.
Systematic sampling: This type of sampling involves selecting every nth member of the population. For example, if you want to select a sample of 100 people from a population of 1,000, you could use systematic sampling to select every 10th person on a list of the population.
Stratified sampling: This type of sampling involves dividing the population into subgroups, or strata, and then selecting a sample from each stratum. For example, if you want to select a sample of students from a school, you could divide the students into strata by grade level and then select a sample from each grade level.
Cluster sampling: This type of sampling involves dividing the population into groups, or clusters, and then selecting a sample of clusters. For example, if you want to select a sample of households from a city, you could divide the city into clusters by neighborhood and then select a sample of neighborhoods.
Convenience sampling: This is a non-probability sampling technique in which the researcher selects the most convenient members of the population to study. This type of sampling is not as reliable as probability sampling, but it can be useful when it is difficult or impossible to select a random sample.
Purposive sampling: This is a non-probability sampling technique in which the researcher selects members of the population who are known to have the characteristics that the researcher is interested in studying. This type of sampling can be useful when the researcher is interested in studying a rare or difficult-to-find population.
Question
write the Give examples of sampling techniques with pictures.