The article discusses how random sampling is commonly used in statistics to make data representative of a population. However, when collecting cross-sectional or panel data, random sampling may not be followed. Instead, researchers use stratified sampling and cluster sampling, or a mix of both. These methods help gather data more efficiently and accurately, leading to better statistical estimates.