EDUCATION (CBSE/UGC NET)

Detailed explanation-1: -Stratified sampling is based on probability.

Detailed explanation-2: -Major probability sampling methods are simple random sampling, stratified random sampling, and Cluster sampling, and Systematic sampling.

Detailed explanation-3: -What is stratified sampling? In stratified sampling, researchers divide subjects into subgroups called strata based on characteristics that they share (e.g., race, gender, educational attainment). Once divided, each subgroup is randomly sampled using another probability sampling method.

Detailed explanation-4: -Stratified sampling is a probability sampling technique wherein the researcher divides the entire population into different subgroups or strata, then randomly selects the final subjects proportionally from the different strata.

Detailed explanation-5: -In judgmental sampling researchers select units from the population based on their knowledge and judgement about the unit. This kind of sampling does not provide equal probability of a unit being chosen.