The article compares quota sampling and stratified random sampling methods. Both methods aim to select a representative sample from a larger population by dividing it into groups. Stratified sampling uses random selection within categories, while quota sampling relies on availability. Stratified sampling requires a sampling frame, while quota sampling does not. Stratified sampling allows for calculating sampling error, unlike quota sampling. Quota sampling is often used in market analysis due to its cost-effectiveness and ease of implementation, but it may introduce bias.