A sample is a subset of a population that is studied to determine conclusion concerning the whole. Sampling is the method by which a representative of the population are chosen for the purposes of study.
There are a variety of types of sampling designs that a person can use to select the subset or sample. Random sampling is the process by which each member of the whole population has a known probability of being selected for the sample. Chance determines which members are selected. Types of random sampling include simple random sampling (all members have an equal chance of selection), stratified sampling (the population is divided into groups or strata and then a member is randomly selected from each stratum), and cluster sampling (the population is divided into cluster, the clusters are randomly selected, each member of the selected cluster is investigated). Non-random sampling is the process by which the members are selected deliberately at the discretion of the researcher. Types of non-random sampling include availability sampling (accessible members are selected), quota sampling (the population is divided into groups and the researcher determines the number or quota of each group to select), expert sampling (experts of a particular ...
This solution is comprised of a detailed explanation of the process and evaluation of a sample. The importance of the sampling within business is specifically addressed. There is also a discussion of when the sampling would not be effective.