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Detailed explanation-1: -The non-proportional quota sampling is a technique with small restriction of minimum of sample number of unit from each category. It’s not interested in having a number that will match the proportions of the population.

Detailed explanation-2: -This is one of the most common forms of non-probability sampling. Sampling is done until a specific number of units (quotas) for various subpopulations have been selected. Quota sampling is a means for satisfying sample size objectives for the subpopulations. The quotas may be based on population proportions.

Detailed explanation-3: -In proportional quota sampling, the major characteristics of the population are represented by sampling them in regards to their proportion in the population of study. Proportional quota sampling is often used in surveys and opinion polls, where the total number of people to be surveyed is typically decided in advance.

Detailed explanation-4: -While there are several sampling methods you could use in your research studies, quota sampling is ideal for when you: Want to focus on a particular group: Quota sampling allows you to concentrate on a certain trait within a particular subgroup. It’s also perfect for comparing relationships between different groups.

Detailed explanation-5: -Stratified random sampling-In stratified random sampling, first the population is divided into sub group (known as strata) and then members from each sub group are selected randomly. This technique is used when the population is not highly homogeneous.