EDUCATION (CBSE/UGC NET)

Detailed explanation-1: -In statistics, quality assurance, and survey methodology, sampling is the selection of a subset (a statistical sample) of individuals from within a statistical population to estimate characteristics of the whole population.

Detailed explanation-2: -Sampling is defined as a technique of selecting individual members or a subset from a population in order to derive statistical inferences, which will help in determining the characteristics of the whole population.

Detailed explanation-3: -Simple random sampling. In simple random sampling (SRS), each sampling unit of a population has an equal chance of being included in the sample. Consequently, each possible sample also has an equal chance of being selected. To select a simple random sample, you need to list all of the units in the survey population.

Detailed explanation-4: -Sampling can be defined as the process through which individuals or sampling units are selected from the sample frame.

Detailed explanation-5: -Sample selection is a very important but sometimes underestimated part of a research study. Sampling theory describes two sampling domains: probability and nonprobability. Probability samples contain some type of randomization and consist of simple, stratified, systematic, cluster, and sequential types.