BUSINESS ADMINISTRATION
RESEARCH METHODOLOGY
Question
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Random Sampling


Non Random Sampling

Detailed explanation1: Probability sampling means that every member of the target population has a known chance of being included in the sample. Probability sampling methods include simple random sampling, systematic sampling, stratified sampling, and cluster sampling.
Detailed explanation2: 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.
Detailed explanation3: Cluster random sample: The population is first split into groups. The overall sample consists of every member from some of the groups. The groups are selected at random.
Detailed explanation4: Nonprobability sampling is a sampling technique in which some units of the population have zero chance of selection or where the probability of selection cannot be accurately determined. Typically, units are selected based on certain nonrandom criteria, such as quota or convenience.
Detailed explanation5: In a nonprobability sample, some members of the population, compared to other members, have a greater but unknown chance of selection. There are five main types of nonprobability sample: convenience, purposive, quota, snowball, and selfselection.