random sampling methods

Random sampling methods are techniques used to select a subset of individuals or items from a larger population in a way that each has an equal chance of being chosen. This approach helps ensure the sample accurately reflects the entire group, reducing bias and enabling reliable conclusions. Common methods include simple random sampling, where every person has an equal chance; stratified sampling, which divides the population into subgroups before sampling; and cluster sampling, which selects entire groups randomly. These methods provide a fair, unbiased way to gather data for analysis or research.