Stratified random sampling

Stratified random sampling is a method used to select a representative group from a larger population. First, the population is divided into smaller groups called "strata" based on specific characteristics, such as age, income, or education level. Then, randomly select members from each stratum proportionally to their presence in the whole population. This approach ensures that all relevant groups are fairly represented in the sample, leading to more accurate and reliable results than random sampling alone. It’s like ensuring you hear from each important segment of a diverse community when gathering opinions or data.