There are several methods to achieve random selection, including:
Simple Random Sampling: Each member of the population has an equal chance of being selected, often achieved through random number generators or drawing lots. Systematic Sampling: Selecting every nth individual from a list of the population, ensuring a random starting point. Stratified Sampling: Dividing the population into subgroups (strata) and randomly selecting from each stratum to ensure representation across key characteristics. Cluster Sampling: Dividing the population into clusters, randomly selecting some clusters, and then studying all individuals within those selected clusters.
