Sampling design

Mathematical formulation

Mathematically, a sampling design is denoted by the function P ( S ) which gives the probability of drawing a sample S .

An example of a sampling design

During Bernoulli sampling, P ( S ) is given by

where for each element q is the probability of being included in the sample and N sample ( S ) is the total number of elements in the sample S and N pop is the total number of elements in the population (before sampling commenced).

Sample design for managerial research

In business research, companies must often generate samples of customers, clients, employees, and so forth to gather their opinions. Sample design is also a critical component of marketing research and employee research for many organizations. During sample design, firms must answer questions such as: - What is the relevant population, sampling frame, and sampling unit? - What is the appropriate margin of error that should be achieved? - How should sampling error and non-sampling error be assessed and balanced?

These issues require careful consideration, and good commentaries are provided in several sources.