EDUCATION (CBSE/UGC NET)

Detailed explanation-1: -Stratified sampling works best when a heterogeneous population is split into fairly homogeneous groups. Under these conditions, stratification generally produces more precise estimates of the population percents than estimates that would be found from a simple random sample.

Detailed explanation-2: -Stratified sampling techniques are generally used when the population is heterogeneous, or dissimilar, where certain homogeneous, or similar, sub-populations can be isolated (strata). Simple random sampling is most appropriate when the entire population from which the sample is taken is homogeneous.

Detailed explanation-3: -In the case of a homogenous population probability sampling method is more useful. Samples should be collected randomly.

Detailed explanation-4: -Heterogeneous samples occur when the items have differences. You can use a measure of dispersion to assess heterogeneity in samples. For example, higher standard deviation values indicate the sample is more diverse. Conversely, lower values indicate the items tend to be similar.