Sure! Here are some examples of each type of sampling:
1. Simple random sampling: A researcher wants to survey the opinions of customers at a grocery store. They randomly select 100 customers from the store's membership database using a random number generator.
2. Stratified random sampling: A school wants to assess the academic performance of its students. The researcher divides the students into high, medium, and low achievers based on their grades. They then randomly select a sample of students from each group to ensure representation from all performance levels.
3. Cluster sampling: An epidemiologist wants to study the prevalence of a disease in a city. They randomly select several neighborhoods in the city and survey all households within those neighborhoods.
4. Systematic sampling: A market researcher wants to survey customers who make purchases in a store every day. They decide to sample every 10th customer who enters the store throughout the day, starting with a randomly selected customer.