Stratified Random Sampling

STRATIFIED RANDOM SAMPLING

       Definition: Stratified sampling is a type of sampling method in which the total population is divided into smaller groups or strata to complete the sampling process. The strata is formed based on some common characteristics in the population data. After dividing the population into strata, the researcher randomly selects the sample proportionally.

 Stratified random sampling is a sampling method in which a populatio

n group is divided into one or many distinct units – called strata – based on shared behaviors or characteristics.

• 1. Stratified random sampling refers to a sampling technique in which a population is divided into discrete units called strata based on similar attributes, and the selection is done in a manner that is representative of the whole population.
• 2. The sampling technique is preferred in heterogeneous populations because it minimizes selection bias and ensures that the entire population group is represented.
• 3. It is not suitable for population groups with few characteristics that can be used to divide the population into relevant units.