The target population in a sampling survey can often be divided into several subpopulations based on certain characteristics of the population units. Some common variables used to categorize population include gender, age, location, education level, and so forth. It is also common in a sampling survey situation that investigators might require certain propositions or numbers for each type of sampling unit included in the sample for various reasons. For instance, a representative sample is often considered one of the most important criteria when evaluating the quality of a sampling survey, and a sample is considered to be representative if the sample structure is the same or close to the population structure; if one is to conduct a survey where gender is considered an influential factor ...