MANAGEMENT

Detailed explanation-1: -Simple random sampling. In simple random sampling (SRS), each sampling unit of a population has an equal chance of being included in the sample.

Detailed explanation-2: -A simple random sample is a subset of a statistical population in which each member of the subset has an equal probability of being chosen. A simple random sample is meant to be an unbiased representation of a group.

Detailed explanation-3: -Random sampling is the truest form of probability sampling. This type of sampling guarantees that each member of a population has an equal chance of being included in the sample. This type of sampling is ideal for more controlled studies where human bias in the selection of the sample is intolerable.

Detailed explanation-4: -Simple random sampling is a type of probability sampling in which the researcher randomly selects a subset of participants from a population. Each member of the population has an equal chance of being selected. Data is then collected from as large a percentage as possible of this random subset.

Detailed explanation-5: -There are four primary, random (probability) sampling methods – simple random sampling, systematic sampling, stratified sampling, and cluster sampling.