4. Cluster Sampling What I Have Learned K? Let's Summarize! Sample is the subset from the population you want to examine. There are various sampling methods. These are simple random sampling. systematic sampling. stratified sampling, and cluster sampling. Simple random sampling is a sampling method where each element of the population has an equal chance of being selected. This can be done through the Table of Random Numbers or lottery method. Systematic sampling is done by selecting every R th element in your population list. The sampling interval, k, is calculated by dividing the population size by the desired sample size. Stratified sampling is done by grouping the elements in the population according to shared characteristicls. Then. the researcher selects the appropriate number of samples from each group. Cluster sampling is a sampling method used when the whole population is subdivided into clusters. or groups. and random samples are then collected from each group. What I Can Do Imagine yourself as a researcher and answer the following questions. 1. If you were to conduct a research. what would be your research topic