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Detailed explanation-1: -Non-probability sampling is most useful for exploratory studies like a pilot survey (deploying a survey to a smaller sample compared to pre-determined sample size). Researchers use this method in studies where it is impossible to draw random probability sampling due to time or cost considerations.

Detailed explanation-2: -Quota sampling 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.

Detailed explanation-3: -Non-probability sampling designs are used when the sample needs to be collected based on a specific characteristic of the population (e.g., people with diabetes). Unlike probability sampling, the goal is not to achieve objectivity in the selection of samples, or to make statistical inferences.

Detailed explanation-4: -In non-probability sampling, the sample is selected based on non-random criteria, and not every member of the population has a chance of being included. Common non-probability sampling methods include convenience sampling, voluntary response sampling, purposive sampling, snowball sampling, and quota sampling.

Detailed explanation-5: -The sampling technique, in which the subjects of the population get an equal opportunity to be selected as a representative sample, is known as probability sampling. A sampling method in which it is not known which individual from the population will be chosen as a sample is called nonprobability sampling.