Survey sampling  From Wikipedia, the free encyclopedia
  (Redirected from Survey Sampling) Jump to: navigation, search
In statistics, survey sampling describes the process of
selecting a sample of elements from a target population in order
to conduct a survey. A survey may refer to many different types
or techniques of observation, but in the context of survey
sampling it most often involves a questionnaire used to measure
the characteristics and/or attitudes of people. Different ways
of contacting members of a sample once they have been selected
is the subject of survey data collection. The purpose of
sampling is to reduce the cost and/or the amount of work that it
would take to survey the entire target population. A survey that
measures the entire target population is called a census.
Survey samples can be broadly divided into two types:
probability samples and non-probability samples. Probability-
based samples implement a sampling plan with specified
probabilities (perhaps adapted probabilities specified