Various types of sampling techniques with examples?

1. Simple random sampling: Every member of the population has an equal chance of being selected. For example, selecting names out of a hat to choose participants for a survey.

2. Stratified sampling: The population is divided into subgroups (strata) based on certain characteristics, and then random samples are taken from each stratum. For example, dividing a population of students into grade levels and then randomly selecting students from each grade level.

3. Cluster sampling: The population is divided into clusters, and then a random sample of clusters is selected for study. For example, selecting a random sample of schools and then surveying all students within those schools.

4. Systematic sampling: Every nth member of the population is selected for the sample. For example, selecting every 10th person who enters a store for a customer satisfaction survey.

5. Convenience sampling: Participants are selected based on their availability and willingness to participate. For example, surveying shoppers at a mall.

6. Snowball sampling: Participants are recruited through referrals from existing participants. For example, asking participants in a study to refer others who may be interested in participating.

7. Quota sampling: Researchers select participants based on specific quotas to ensure representation of different groups within the population. For example, ensuring that a survey sample includes equal numbers of males and females.