Stratified sampling: Definition, Allocation rules with advantages and disadvantages

stratified sampling

Stratified sampling is a sampling plan in which we divide the population into several non overlapping strata and select a random sample from each stratum in such a way that units within the strata are homogeneous but between strata they are heterogeneous. Stratum is a group of elements where all the units of elements “within … Read more

Probability sampling with application, Pros and Cons

Probability sampling is a research technique that gives every member of a population a known and non-zero chance of being selected in a sample. Researchers widely use this method in scientific studies, social sciences, market research, and environmental surveys to ensure accurate and representative data. In other words, Probability sampling is based on the concept … Read more

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