ABSTRACT
Sampling is a technique for obtaining an estimate from a population by studying, measuring, or interviewing a subset of that population. Sampling can be used to select the subset of a population to be interviewed, the members of a joint application design team, or the members of an inspection team. Sampling is an effective way to study an existing system by selecting the entities, transactions, occurrences, or personnel to be observed and measured. Stratified random sampling is important if the different strata have different means and/or different levels of variability. If boss were to use a random number table to define the times for random visits to the work area, he or she is likely to gain a more accurate picture of the employees’ work habits. In cases where it is impossible or inconvenient to select a true random sample, the objective is to generate estimates that behave as though they were based on a random sample.
