A representative data set taken from a larger pool of data for the purpose of quality assurance or analysis.
Typically when a sample is taken, the entire set of data is too large or unwieldy to be examined on an item by item basis. Therefore, a smaller data set is procured. Random Sampling, also known as Probability Sampling, is often used to ensure that the sample is unbiased and representative. The smaller data set can then be checked to find any systematic issues or analyzed for patterns.