MANAGEMENT

Detailed explanation-1: -Random sampling ensures that results obtained from your sample should approximate what would have been obtained if the entire population had been measured (Shadish et al., 2002). The simplest random sample allows all the units in the population to have an equal chance of being selected.

Detailed explanation-2: -Sampling is done because you usually cannot gather data from the entire population. Even in relatively small populations, the data may be needed urgently, and including everyone in the population in your data collection may take too long.

Detailed explanation-3: -Researchers choose simple random sampling to make generalizations about a population. Major advantages include its simplicity and lack of bias. Among the disadvantages are difficulty gaining access to a list of a larger population, time, costs, and that bias can still occur under certain circumstances.

Detailed explanation-4: -Which of the following is a reason for using sampling in research rather than studying the whole group in which we are interested? the whole group is sometimes too large to be feasible to study, and carefully drawn samples can provide better information than can be gotten from studying the whole group.